Principal Engineer and CMake release cycle manager Robert Maynard will attend. On Tuesday, September 25th, from 20:30 to 22:00, he will represent CMake at Tool Time.

About      •      Dates      •      Organizers      •      Workshop Program      •      Paper Submission Instructions

The premise of this half-day MICCAI workshop is that for the full potential of point-of-care ultrasound (POCUS) to be realized, POCUS systems must be approached as if they were new diagnostic modalities, not simply as inexpensive, portable ultrasound image systems.

Building on the highly successful MICCAI 2017 POCUS Workshop, this workshop is dedicated to the research and clinical evaluations of the technologies specific to POCUS. POCUS involves automated data analyses, rugged hardware, and specialized interfaces to guide novice users to properly place and manipulate an ultrasound probe and interpret the returned ultrasound data. In particular, the output of a POCUS system should typically be quantitative measures and easy-to-understand reformulations of the acquired data, not b-mode images; it should be assumed that the expertise needed to interpret b-mode images will not be readily available at the points of care.

Image analysis algorithms as well as tracking and systems engineering are essential to POCUS applications. Example applications include detection of intra-abdominal bleeding by emergency medical services (EMS) personnel for patient triage at the scene of an accident, diagnosis of increased intra-cranial pressure by medics using computer-assisted measurement of optic nerve sheath diameter, and monitoring of liver tissue health in the homes of at-risk patients. At the workshop, attendees will learn from leaders in POCUS research via oral presentations as well as via live demonstrations and a panel discussion.

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About

The workshop aims to support and grow the community of POCUS researchers at the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference. Accordingly, the workshop represents a blending of MIC and CAI.

Topics of interest include the following:

• self-contained or easy-to-setup probe tracking systems for in-field use;
• three-dimensional ultrasound reconstruction from imprecisely tracked two-dimensional probes;
• clinical studies of in-field POCUS applications;
• adaption of advanced ultrasound protocols to low-cost probes;
• ultrasound guidance algorithms and interfaces for novice users;
• automated ultrasound image quality assessment;
• tissue characterization in POCUS applications;
• longitudinal registration of POCUS data;
• workflows and interfaces for novice POCUS users, including augmented reality (AR) and virtual reality (VR) displays;
• hardware packaging for rugged, in-field ultrasound applications; and
• simulation strategies for rapid training of EMS personnel and medics for POCUS applications.

<p”>The organization of this workshop is supported, in part, by NIH/NIBIB and NIH/NIGMS via 1R01EB021396-01A1: Slicer+PLUS: Point-of-Care Ultrasound

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Dates

June 11  –  Submission Deadline – If you need additional time, please email stephen.aylward@kitware.com and provide a title and abstract as a preliminary submission.   Completed submissions must be received by June 18th.
July 7  –  Notification of Acceptance
July TBD  –  Camera-Ready Papers Due, with Confirmed Workshop Registration
August 1  –  Final Program Published

September 16  –  Half-Day Workshop

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Organizers

The workshop organizers represent academic, industry, and clinical leaders in the field of POCUS. InnerOptic is a medical device innovator for ultrasound applications. The clinical leaders from Washing University, Children’s National medical Center, and Duke University Hospitals include emergency medicine physicians, trauma surgeons, and pediatric orthopedic surgeons. Queens University, Johns Hopkins University (JHU), Brigham and Women’s Hospital (BWH), and Kitware have open-source packages that are being adopted to POCUS applications.  

The workshop organizers are as follows:

• Stephen Aylward, Kitware
• Emad Boctor, JHU
• Kevin Cleary, Children’s National Medical Center
• Gabor Fichtinger, Queens University
• Bradley Freeman, MD, Washington University
• Deborah Kane, MD, Washington University
• Luv Kohli, InnerOptic
• Sean Montgomery, MD, Duke University
• Matt Oetgen, MD, Children’s National Medical Center
• Sonia Pujol, BWH

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Workshop Program

(Download MICCAI POCUS Workshop Program-v2.pdf)

 

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Paper Submission, Live Demonstrations, and Paper Publications

Submission Deadline

June 11, 2018   Midnight ET  (GMT-4)

Submissions Instructions

The organizing committee will judge the papers based on potential impact on patient care, innovation, and methodological soundness.   MICCAI standards regarding conflicts of interest during review, duplicate publications, and scientific/human-subject ethics will be maintained.

Each paper should be submitted via email to stephen.aylward@kitware.com and should include the following:

• In the body of the email, please provide
  • Title
  • Responsible author, affiliation, and email address
  • Brief description of the associated live demonstration or an indication that there is no associated live demonstration.
  • Preference for oral presentation and/or live demonstration
• Attached to the email, please provide a PDF of the submitted full paper in MICCAI format
  • Papers should be a MAXIMUM of 8 pages (i.e., papers short than 8 pages are allowed, and papers are judged by content, not length)
  • The 8-page limit holds for papers intended for oral presentation and live demonstration
  • Papers are encouraged to include references to open-access data and software repositories

Live Demonstrations

In addition to oral presentations, the workshop will feature live demonstrations.  Papers accepted for oral presentation are automatically eligible for live demonstrations.  Additionally, papers can be submitted and/or chosen specifically for live demonstrations.  The live demonstrations are anticipated to include not only image analysis demonstrations but also POCUS probes connected to laptops to demonstrate innovations for 1) embedded tracking systems, 2) open-APIs and toolkits for creating mobile applications for POCUS, and 3) Hololens for ultrasound intervention guidance.

Publication

Springer has agreed to publish our papers as part of the MICCAI workshop proceedings.  Papers will appear in a volume in Springer’s Lecture Notes in Computer Science (LNCS) series. 

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Main MICCAI Conference Events

Sept. 16

Academia and & Industry Event
Senior Director of Strategic Initiatives Stephen Aylward is an invited panel member.

Sept. 17

Samuel Gerber will present the paper “Exploratory Population Analysis with Unbalanced Optimal Transport” during Oral Session V-B (Neuroimaging). Please see the schedule for additional information.

Sept. 19

Kitware is the sponsor of the MICCAI Young Scientist Publication Impact Award.

 

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MICCAI Satellite Events

Sept. 16

Point-Of-Care Ultrasound : Algorithms, Hardware, and Applications
Stephen Aylward is the workshop Chair.

Hands-on Tutorial on Rapid Prototyping of Ultrasound-guided intervention Systems
Stephen Aylward is giving an invited talk “Point-of-care ultrasound applications build on open-source software.”

Brain-Lesion workshop: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries + BraTS + ISLES
Poster presentation of the paper “Patient-Specific Registration of Pre-Operative and Post-Recurrence Brain Tumor MRI Scans”

Sept. 20

Workshop on Shape Analysis and Geometric Learning
Technical Leader Beatriz Paniagua is an organizer.
Kitware is the sponsor of the best paper award.

Tutorial On Publishing, GRant writing and Academic career Development
Stephen Aylward is giving the invited talk “Grant writing 101.”

Workshop and Challenge on Skin Image Analysis + CHALLENGE 1
Senior R&D Engineer Brian Helba is a ISIC 2018 Challenge co-chair.
The image archive for the challenge uses Girder, an open source platform for data and analytics.

Principal Engineer Chris Harris will present “Reproducible quantum chemistry in Jupyter” on Thursday, August 23rd, from 11:55 a.m. to 12:35 p.m. EDT.

Technical Leader Marcus Hanwell will attend the event. At Kitware, he is the lead developer of Tomviz, a visualization application. It will be showcased on Tuesday, August 7th, at 2:15 p.m. EST in “Real-Time Tomography with Interactive 3D Visualization Using tomviz.”

Members of the medical computing team will take part in two presentations, one on image processing and the other on data science.

1. ITK: The Insight Segmentation and Registration Toolkit
2. Scikit-build: A Build System Generator for CPython C/C++/Fortran/Cython Extensions

Matthew McCormick will lead a hackathon titled ITK Open Science Grand Challenge. The hackathon will begin June 30, 2018 (after the WBIR 2018 conference) at 10 a.m. McCormick will be joined by Dženan Zukić, who helps to maintain the Insight Segmentation and Registration Toolkit (ITK).

Senior Director of Strategic Initiatives Stephen Aylward will present Pre-hospital Applications of Computer-Augmented Point-of-Care Ultrasound.

Bring your questions on CMake, and join Principal Engineer Robert Maynard on Reddit’s r/cpp.

Kitware will be actively participating in this year’s Computer Vision and Pattern Recognition (CVPR) Conference, being held in Salt Lake City Utah from June 18-22.  The Computer Vision team has had a long-term commitment to CVPR and this year many Kitware representatives will be in attendance including the Senior Director of Computer Vision, Anthony Hoogs, Ph.D., and the Director of Computer Vision, Matt Turek, Ph.D.  Our extensive experience in utilizing deep learning and computer vision to develop tools for image and video scene recognition, object detection and tracking, and image enhancement in various domains including aerial video, ground-level video, underwater video and satellite imagery, will be addressed in invited talks at workshops and a tutorial.  Kitware staff will continue their high-level of participation as workshop chairs, organizers, silver sponsors, invited speakers, and presenters. We will also have a booth in the exhibit to share and discuss Kitware’s computer vision and deep learning techniques supporting the open source software community and our customers and collaborators. Be sure to check out the full details below for Kitware’s participation in CVPR 2018 so you don’t miss this great opportunity to meet with our team.

Event Details:

CVPR 2018 is “the premier annual computer vision event” attracting an “international community of scholars whose collective efforts are embodied in one of the finest conferences in all of Computer Science”.  This event includes the main program with 979 accepted papers covering state-of-the-art work in computer vision.  In addition to the main program, 21 tutorials, 48 workshops, CVPR’s annual doctoral consortium, and an exhibition of over 115 companies provides an exceptional venue and value to industry researchers, academics, and students.  The event will provide information relevant to computer vision technology applicable to industry, academia, and government; providing a venue that promotes collaboration, research and development, and insight into computer vision applications and technology.  Make sure to keep an eye on the event schedule as more information is published and solidified so as not to miss out on opportunity to contribute to this cutting edge and ever evolving community.

Kitware Participation:

Kitware is a Silver Sponsor at this year’s CVPR 2018.  Kitware sponsors this conference each year to support this community, recruit computer vision professionals, and to continue collaboration and engagement.  Anthony Hoogs, Ph.D., the Senior Director of Computer Vision, was an Area Chair providing his extensive expertise in computer vision and deep learning to ensure the selection of the highest quality papers.

Dr. Hoogs is a Co-Chair and the primary organizer of the CVPR Workshop and Challenge on Automated Analysis of Marine Video for Environmental Monitoring.  This workshop is scheduled for Friday, June 22, and will include “experts and researchers interested in learning about the challenges, current work, and opportunities in marine video analytics, including video captured from both under and above water”.  Monitoring fish, shellfish, marine mammals, coral reefs, bottom habitats, and other wildlife has become of great interest to oceanographers, biologists, and others. Maritime video collection is expanding exponentially as professionals work to determine new ways to utilize this data for marine science and oceanography.  The challenges in this environment are vast and many experts and researchers are diligently working to overcome these challenges to enable increased automated video processing. Currently, marine video is annotated manually, resulting in a tremendous bottleneck to studying marine biological problems such as fish population estimates. Under NOAA funding, Kitware is developing an open-source framework and toolkit, Video and Imagery Analytics for the Marine Environment (VIAME), to integrate analytics algorithms from the community into an operational capability for NOAA.

In addition to four invited talks and four selected papers, this Workshop will feature a data challenge in this domain.  Large amounts of image data from a variety of underwater cameras and environments has been provided and annotated by the National Oceanic and Atmospheric Administration (NOAA). Challenge entries must detect and classify fish and shellfish in the imagery. Results will be scored and ranked by Kitware, and the top three entries will present their solutions at the workshop.  Check out the Challenge website for more information and access the training and test data.

Dr. Hoogs will be one of three keynote speakers at the CVPR Workshop on Bridging the Gap between Computational Photography and Visual Recognition: the UG2 Prize Challenge on June 18. This Challenge will bring together a variety of computer vision experts to address general applications related to computational photography and scene understanding.  Anthony will share Kitware’s long history of research in super-resolution using 3D models and, more recently, deep learning for modality transfer. See the Vision Team webpage for more information on Kitware’s efforts in this area.

Matt Leotta, Ph.D., a Technical Lead within Kitware’s Computer Vision team, is a member of the DeepGlobe Technical Team for the CVPR Workshop on DeepGlobe: A Challenge for Parsing the Earth through Satellite Images and Kitware is a gold sponsor.  This workshop is being held on June 18 and HakJae Kim, the IARPA Program Manager for the CORE3D program will be one of the keynote speakers.  Satellite imagery is a powerful source of information that is now receiving increased attention in the vision research community due to increased availability of public datasets and the commercial interest in extracting information from satellite images. This Satellite Challenge is an opportunity to “bring together a diverse set of researchers to advance the state-of-the-art in satellite image analysis” and garner more attention.  The Challenge will focus on three tracks: (1) road extraction; (2) building detection; and (3) land cover classification.  Researchers will utilize novel computer vision techniques, approaches under review, and already published methods on available datasets to learn the expected urban elements for each track.  Make sure to keep an eye on this workshop to attend and contribute to the evolving computer vision applications for satellite imagery across different industries.

Matt Turek, Ph.D., the Director of Computer Vision will present at the CVPR Tutorial on Software Engineering in Computer Vision Systems.  This tutorial will be held on June 22. Make sure to check out the Tutorial Program for updates on times and other valuable information.

During the main conference and exhibition, Kitware’s computer vision team members including  Anthony Hoogs, Ph.D.,  Matt Turek, Ph.D., Matt Leotta, Ph.D., Eran Swears, Ph.D., Chengjiang Long, Ph.D., Eric Smith, Ph.D., and Libby Rose will be available at booth number 1036 to discuss and demonstrate Kitware’s computer vision expertise..  You will have the opportunity to see the KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, Kitware’s open source software toolkit that contains advanced computer vision tools to perform object detection and tracking; activity, event, and threat detection; scene understanding; and social multimedia analysis.  In addition, our work on the Video and Image Analytics for a Marine Environment (VIAME) toolkit will be demonstrated as we are continuously working with NOAA to develop open source software for fish monitoring.

Kitware’s Computer Vision team recognizes how valuable advancing computer vision and deep learning is in order to greatly improve and push capabilities beyond their limits supporting Academia, Industry, and the DoD and Intelligence Communities.  Our main focus areas include deep learning, object detection and tracking, image and video scene understand, image and video forensics, social multimedia analysis, complex activity, event, and threat detection, 3D vision, and super resolution; however we are not limited and continuously explore and participate in other research and development for our customers and our partners.  We partner with many academic institutions such as Harvard, Massachusetts Institute of Technology, Cornell University, University of California, Berkley, and Texas A&M University. We have worked with various agencies, such as the Defense Advanced Research Project Agency (DARPA), Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), Intelligence Advanced Research Projects Activity (IARPA) and the U.S. Air Force.  Kitware has developed and deployed an operational Wide Area Motion Imagery (WAMI) tracking systems for Intelligence, Surveillance, and Reconnaissance (ISR) in theatre, providing analysts with exploitation capabilities that fuse sensors, platforms, and people. Our work with DARPA on Squad-X has led to extensive research, development, and deployment of robust methods to more accurately identify and track objects and people, delivered straight to the soldier on the ground.  Our work on the Visual Global Intelligence and Analytics Toolkit (VIGILANT), funded by the Air Force Research Laboratory (AFRL) via the Small Business Innovation Research (SBIR) program is a collaborative effort with Rochester Institute of Technology’s (RIT’s) Digital Imaging and Remote Sensing (DIRS) and Real Time Vision and Image Processing (RTVIP) Labs and the Middlebury Institute of International Studies at Monterey, James Martin Center for Nonproliferation Studies to develop object and object-based change detection and unstructured change detection in satellite imagery. In addition, Kitware is continually improving their KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains.  Please visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.

Contact:

Please reach out to computervision@kitware.com to schedule meetings throughout this event.  We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision and deep learning as well as our cutting-edge open source vision software, KWIVER and VIAME.

 

CTO Bill Hoffman will talk about CMake’s history, Modern CMake and CDash.

Are you a clinical researcher or technologist in the field of biomedical imaging? Take this opportunity to get to know these open source software platforms for medical image analysis and visualization:

• The Insight Segmentation and Registration Toolkit;
• The Visualization Toolkit; and
• 3D Slicer.

Members of our medical computing and high-performance computing and visualization teams will walk you through the processes of using and extending the platforms for your research projects and product development.

The course runs from 8 a.m. to 5:00 p.m. EST each day. Additional details are available on the registration form.

Register Now

CEO Lisa Avila will present “The Open Source Business Model: A 20-Year Perspective on Building a Business by Giving the IP Away for Free.”

Kitware will be attending and presenting at GEOINT 2018, being held April 22-25 in Tampa FL. This year, both Dr. Anthony Hoogs, Senior Director of Computer Vision, and Dr. Matt Turek, Director of Computer Vision, will be in attendance and available for in-depth discussions related to Kitware’s GEOINT efforts. We have been selected to brief at the highly competitive Lightning Talk session occurring April 24 between 3:20-4:10 pm, where Dr. Turek will discuss our work on the Visual Global Intelligence and Analytics Toolkit (VIGILANT), funded by the Air Force Research Laboratory. Be sure to check out our talk as he will provide details on object and object-based change detection using deep learning on satellite imagery to provide accurate, actionable intelligence.

Event Details:

GEOINT is hosted and produced by the United States Geospatial Intelligence Foundation (USGIF), which is a non-profit non-lobbying educational organization.  According to the GEOINT 2018 website, this Symposium is the nation’s largest with industry, academia, and government to include Defense, Intelligence and Homeland Security Communities as well as commercial, Fed/Civil, State and Local geospatial intelligence stakeholders.  This large event will include more than 4,000 attendees from all over the world and it features more than 250 exhibiting organizations. It offers 50 hours of training sessions, and provides countless opportunities for this community to learn, exchange ideas, and network with one another.  GEOINT 2018’s theme is “Driving Data to Decisions and Action”; providing educational content, access to speakers, technology displays, and visibility and networking across the Intelligence Community. It is expected that attendees will include but are not limited to Special Operations Forces, Military Intelligence Officers, Defense, Intelligence, and Homeland Security Personnel, Emergency Management and Public Safety Agencies, Military Intelligence Officers, University and College Educators and Researchers, Contractors and Businesses utilizing GEOINT, and high level decision makers focused on GEOINT.  The combination of special events, keynotes, panels, lightning talks, and breakout tracks is strategically designed to bring together this community to collaborate, educate, and network. Make sure to review the GEOINT 2018 agenda to remain up to date on what is going on at this one of a kind symposium.

Details:

Kitware has been chosen to provide one of the 28 Lightning Talks at this year’s GEOINT 2018, following a highly competitive selection process. The talk provides an opportunity for Kitware to educate colleagues on Kitware’s work related to GEOINT’s theme “Driving Data to Decisions and Action”.  Kitware’s topic will focus on the Visual Global Intelligence and Analytics Toolkit (VIGILANT), funded by the Air Force Research Laboratory (AFRL) via the Small Business Innovation Research (SBIR) program. The VIGILANT program is a collaborative effort with Rochester Institute of Technology’s (RIT’s) Digital Imaging and Remote Sensing (DIRS) and Real Time Vision and Image Processing (RTVIP) Labs and the Middlebury Institute of International Studies at Monterey, James Martin Center for Nonproliferation Studies to develop object and object-based change detection and unstructured change detection in satellite imagery.

 

On the program, the team is developing state-of-the-art deep learning techniques for object and object-based change detection in multiple sources including commercial satellite imagery.  Object and object-based change detection in satellite imagery is a very challenging problem and Kitware has found that deep learning-based object detectors significantly improve performance beyond the previous state-of-the-art techniques. To reduce the need for manually labelled training data, RIT has been simulating training data with DIRSIG and Kitware has been exploring techniques such as autoencoders and generative adversarial networks.

 

The VIGILANT system is a scalable, web-based system implemented with Kitware’s open-source computational platform Girder for visualization and data management.  During this talk, Matt Turek, Ph.D., the Director of Computer Vision, will discuss several aspects of the effort, including approaches for training with limited labeled data.  The talk will occur on the afternoon of April 24, located in the Exhibit Hall so make sure to be in attendance as it will provide a wealth of information to consider and further explore throughout this event.  You can locate the agenda at The Innovation Corner.

Kitware’s Computer Vision team will be well represented, with the Senior Director of Computer Vision, Anthony Hoogs, Ph.D., and the Director of Computer Vision, Matt Turek, Ph.D. in attendance.  Both Anthony and Matt have a wealth of experience and knowledge in computer vision and deep learning for Department of Defense (DoD) and Intelligence Community problems.

 

Kitware’s Computer Vision team recognizes how valuable advancing computer vision and deep learning is to advance the technical capabilities of the GEOINT Community and to provide actionable information to the soldier on the ground.  Our core technical areas include deep learning; object detection and tracking; image and video scene understanding; image and video forensics; social multimedia analysis; complex activity, event, and threat detection, 3D vision, and super resolution. We use state-of-the-art algorithms to build advanced tools and capabilities for the war fighter and intelligence analyst, helping drive data to decisions and enabling action on this intelligence.   We have worked with various agencies, such as the Defense Advanced Research Project Agency (DARPA), Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), Intelligence Advanced Research Projects Activity (IARPA) and the U.S. Air Force.  Our work with DARPA on Squad-X has led to extensive research, development, and deployment of robust methods to more accurately identify and track objects and people, delivered straight to the soldier on the ground. Kitware has developed and deployed an operational Wide Area Motion Imagery (WAMI) tracking systems for Intelligence, Surveillance, and Reconnaissance (ISR) in theatre, providing analysts with exploitation capabilities that fuse sensors, platforms, and people.  In addition, Kitware is continually improving their KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains.  Please visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.

 

Contact:

Please reach out to computervision@kitware.com to schedule meetings throughout this event.  Anthony Hoogs and Matt Turek will be on-hand for in depth conversations. We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision and deep learning as well as our cutting-edge open source vision software, KWIVER.

Kitware’s Senior Director of Computer Vision, Dr. Anthony Hoogs, is an invited speaker at this year’s 2018 SPIE Defense + Security Conference in Orlando, FL, April 15-19, which is a part of the Defense + Commercial Sensing Conference.

Event Details:

The Defense + Commercial Sensing Conference is a global event combining the SPIE Defense + Security Conference and the Commercial + Scientific Sensing and Imaging Conference, which will provide a wealth of information on sensing, imaging, and photonic technologies for professionals in defense and industry, as well as academics.   The SPIE Defense + Security Conference focuses on sensors, imaging, and optical technologies for security, law enforcement, avionics/aerospace, autonomous systems, defense, health care, and military applications. This year their focus is on “Sensing and imaging research for a safer world” and will also include commercial sensing with two technical programs with 1,900 presentations, a 400-company expo, and 34 courses focused on training and education.  Information related to the latest technical advances in sensors, infrared technology, laser systems, spectral imaging, radar, LiDAR and more will be provided in various venues throughout this five-day event. Make sure to check out the most recent Defense + Commercial Sensing Program for the list of events.

Details:

Kitware’s Senior Director of Computer Vision, Anthony Hoogs, Ph.D., is an invited speaker for the Panel Discussion titled “Machine Learning for Automatic Target Recognition (ML4ATR)”.  Anthony will provide insight into Kitware’s research and technology development on programs related to machine learning for Automatic Target Recognition (ATR). This two hour panel begins on Monday, April 16th at 10:30 am in conference room 10648 and will highlight the accomplishments and challenges in designing and deploying deep learning and big data analytics algorithms, systems, and hardware for ATR.  An array of professionals with in-depth experience related to ATR will present information related to projects on machine learning for ATR representing defense, industry, and research labs. Topics of interest include but are not limited to training deep learning based ATR with limited measured/real data, change detection, patterns-of-life analysis, and multi-modal satellite/hyperspectral/Sonar/Full Motion Video (FMV) analytics.  This panel provides a forum for program managers, researchers, practitioners, and software engineers and scientists across various disciplines of ATR to connect, engage, learn, and shape the future of this field. Make sure to keep an eye out on the program for any schedule changes so as not to miss the informative panel.

Kitware’s Computer Vision group recognizes how valuable advancing computer vision and deep learning is in order to greatly improve and push capabilities beyond their limits supporting the DoD and Intelligence Communities as well as Industry and Academia.  Our main focus areas include deep learning, object detection and tracking, image and video scene understand, image and video forensics, social multimedia analysis, complex activity, event, and threat detection, 3D vision, and super resolution; however we are not limited and continuously explore and participate in other research and development for our customers and our partners.  We have worked with various agencies, such as the Defense Advanced Research Project Agency (DARPA), Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), Intelligence Advanced Research Projects Activity (IARPA) and the U.S. Air Force. Kitware has developed and deployed an operational Wide Area Motion Imagery (WAMI) tracking systems for Intelligence, Surveillance, and Reconnaissance (ISR) in theatre, providing analysts with exploitation capabilities that fuse sensors, platforms, and people.  Our work with DARPA on Squad-X has led to extensive research, development, and deployment of robust methods to more accurately identify and track objects and people, delivered straight to the soldier on the ground. In addition, Kitware is continually improving their KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains.  Please visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.

Contact:

Please reach out to computervision@kitware.com to schedule meetings throughout this event.  Anthony Hoogs will be on-hand for in depth conversations. We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision, machine learning, and deep learning as well as our cutting-edge open source vision software, KWIVER.

Andinet Enquobahrie will highlight virtual trainers for laparoscopic surgery.

Andinet Enquobahrie will be part of the panel VR/AR for Surgery and Medical Education, which will occur from 1:30 to 2:30 p.m. PST. The panel will feature researchers and clinicians who develop virtual simulators for medical applications.

Hastings Greer will present the paper “Scoliosis Screening and Monitoring Using Self Contained Ultrasound and Neural Networks.” His co-authors include Samuel Gerber, Matthew McCormick, Deepak Chittajallu, Neal Siekierski, Matthew Oetgen, Kevin Cleary and Stephen Awylward.

Aylward will speak at the session on Imaging for Developing Countries. He will discuss “Computer-augmented Point-of-care Ultrasound Technologies and Applications,” which he co-authored.

Alyward is also a co-author on the paper “Next-generation Ultrasound Imaging for Assessing the Microvascular Fingerprint of Cancer.” It will be presented in the session on Ultrasonic Imaging-Based Tissue Characterization.

The paper “Vectorized persistent homology representations for characterizing glandular architecture in histology images” also discusses the use of image analysis in the detection of cancer. Deepak Chittajallu will present the work, which he completed with Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan Beezley, David Manthey, David Gutman and Lee Cooper.

Kitware will be at the GPU Technology Conference held March 26-29 in Silicon Valley CA.

Event Details:

This conference, hosted by NVIDIA is the premier conference on artificial intelligence and deep learning.  It showcases the latest breakthroughs from academia, government, startups and major enterprises in various industries such as government, healthcare, automotive & transportation, etc.  Technologies, researchers, and developers will be in attendance supporting top companies, government agencies, research firms, and universities from around the world. There will be hundreds of sessions focused on topics such as smart cities, autonomous machines, deep learning and artificial intelligence, HPC & supercomputing, accelerated analytics, developer tools.  Make sure to Browse Their Sessions and Explore Their Broad Range of Topics to familiarize yourself with this conference and the valuable information it will provide to its international audience.

Details:

Paul Tunison, a Senior R&D Engineer with Kitware’s Computer Vision team will be in attendance.  He has a wealth of experience in computer science and deep learning utilizing NVIDIA GPUs to improve processing, performance, and training models.  He has successfully contributed to various Kitware programs supporting our government, commercial, and academic customers and partners.

Kitware’s Computer Vision team recognizes how valuable advancing computer vision and deep learning is in order to greatly improve and push capabilities beyond their limits supporting our customers and collaborators.  The use of NVIDIA GPUs has greatly improved our performance in our key focus areas and provided a mechanism to continue to evolve our state-of-the-art algorithm and technology development. Our main focus areas include deep learning, object detection and tracking, image and video scene understand, image and video forensics, social multimedia analysis, complex activity, event, and threat detection, 3D vision, and super resolution; however we are not limited and continuously explore and participate in other research and development opportunities.  We use successful techniques to build advanced open source tools and capabilities focused on different applications to enhance and improve deep learning processing and training of models.

We have worked with various agencies, such as the Defense Advanced Research Project Agency (DARPA), Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), Intelligence Advanced Research Projects Activity (IARPA) and the U.S. Air Force.  Our work with DARPA on Squad-X has led to extensive research, development, and deployment of robust methods to more accurately identify and track objects and people, delivered straight to the soldier on the ground. On IARPA’s Deep Intermodal Video Analytics (DIVA) Program, Kitware is responsible for Test & Evaluation (T&E), which has provided us the opportunity to collect multi-camera datasets representing collections from a suite of surveillance camerasand we utilize NVIDIA GPUs to improve processing and deep learning training and testing.  We are developing an open source framework for underwater image and video analytics known as the Video and Image Analytics for a Marine Environment (VIAME) in cooperation with NOAA’s Automated Image Analysis Strategic Initiative (AIASI); where almost 50% of the operations are run on NVIDIA GPUs.  Kitware’s work on the Media Forensics (MediFor) Program applying deep learning to advanced techniques and algorithms to determine the digital, physical, and semantic integrity in visual media uses GPUs for processing to train and test deep networks for image and video forensic algorithms.   In addition to these projects, Kitware is continually improving their KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains.  Please visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.

Contact:

Please reach out to computervision@kitware.com and/or paul.tunison@kitware.com to schedule meetings throughout this event.  Paul Tunison will be on-hand for in depth conversations. We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision and deep learning using GPUs; as well as our cutting-edge open source vision software, KWIVER.

Principal Engineer Matthew McCormick will give a talk titled “itk-jupyter-widgets: Interactive 3D and 2D Visualization in Jupyter.”

Kitware will be briefing at this year’s 2018 Military Sensing Symposia (MSS) Parallel Meeting under the MSS Specialty Group on Passive Sensors in Gaithersburg, MD, March 19-23.

Event Details:

This event is the annual parallel meeting of the MSS Specialty Group on Detectors, the MSS Specialty Group on Passive Sensors, the MSS Specialty Group on Materials and the MSS Specialty Group on Battlefield Survivability and Discrimination.  According to the MSS website, it will include five days of presentations, discussions, and dissemination of information on various technologies and capabilities related to each Group, all conducted at the SECRET classified level.  Sessions will include but are not limited to Image Processing and Real-Time Implementation, Multidimensional and Diversity Sensors, Sensor System Design & Development, Small Unattended Aircraft Systems (SUAS) Sensors and Systems, Emerging Technologies and System Concepts, and a Special Session on Passive MMW Imaging Through Degraded Visual Environment.  Make sure to check out their website for more details on the different Groups and to register by their deadline of March 3, 2018.  Various Department of Defense (DoD), Industry, Commercial, and Academic experts will be in attendance to collaborate and learn more about technology, capabilities, and needs.

Details:

Matt Leotta, Ph.D., a Team Principal and Technical Leader within the Computer Vision Group at Kitware, will speak on Telesculptor: Dense 3D Models from Uncalibrated Full Motion Video (FMV).  Accurate and dense 3D models are an important resource in mission planning for special operations.  Full Motion Video (FMV) is often readily available and up-to-date when active sensors data, such as lidar, are not.  Current techniques using FMV to produce 3D models are labor intensive and manual, and are not able to respond quickly to real-time operations and decision making.  The use of FMV to build accurate 3D models automatically is possible, and Kitware will present their recent work supported by the U.S. Air Force (USAF) to automate the reconstruction of accurate and dense 3D models from operational FMV.  Details addressing the challenges of applying structure from motion (SfM) and multi-view stereo (MVS) to FMV will be included, such as missing metadata, cloud cover, metadata “burned” into the video, etc.  Kitware’s approaches to overcome these challenges will be broken down and preliminary results will show that semantic segmentation of video key frames can be used to improve 3D results.  Experimental results showing detailed 3D models produced from FMV data collected by Air Force Special Operations Command (AFSOC) will demonstrate that fine scale details are visible, such as utility poles and tree trunks.  Fine scale details greatly improve mission planning, analysis of a scene, and accuracy.  Authors to this paper include Matt Leotta, Eric Smith, Ph.D., and David Russell, all with Kitware, Inc. and the Computer Vision Group.

Kitware’s Computer Vision group recognizes how valuable advancing computer vision and deep learning is in order to greatly improve and push capabilities beyond their limits supporting the DoD and Intelligence Communities.  We have worked with various agencies, such as the Defense Advanced Research Project Agency (DARPA), Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), Intelligence Advanced Research Projects Activity (IARPA) and the U.S. Air Force.  Kitware has developed and deployed an operational Wide Area Motion Imagery (WAMI) tracking systems for Intelligence, Surveillance, and Reconnaissance (ISR) in theatre, providing analysts with exploitation capabilities that fuse sensors, platforms, and people.  Our work with DARPA on Squad-X has led to extensive research, development, and deployment of robust methods to more accurately identify and track objects and people, delivered straight to the soldier on the ground. In addition, Kitware is continually improving their KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains.  KWIVER has grown to include our Motion-imagery Aerial Photogrammetry Toolkit (MAP-TK), an open source toolkit for making measurements from aerial video.  Kitware also provides an end-user application called TeleSculptor which uses KWIVER to  provide the 3D Model generation solution from FMV.  Please visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.

Contact:

Please reach out to computervision@kitware.com to schedule meetings throughout this event.  Matt Leotta will be on-hand for in depth conversations.  We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision and deep learning as well as our cutting-edge open source vision software, KWIVER.

This event is organized by the Laboratory for Computational Sensing and Robotics at Johns Hopkins University. As a member of the external advisory board for the laboratory, Senior Director of Strategic Initiatives Stephen Aylward will conduct interviews at the event. To schedule an interview, please email kitware@kitware.com.

Kitware will present three free, one day training courses next month at our Albany, NY headquarters.

March 15‘th “CMake and Friends”
all day: w/ Bill Hoffman

To reserve a seat for the course, please fill out this google form and we’ll get back to you to confirm your reservation. https://goo.gl/forms/M3WmJcV9W6qKTK8x2

Kitware is sponsoring this year’s 18th IEEE Winter Conference on Applications of Computer Vision (WACV) in Lake Tahoe, CA, March 12-14. In addition, Anthony Hoogs, Ph.D., the Senior Director of Computer Vision at Kitware, is a General Co-Chair and is on the Steering Committee.

Event Details:

This year’s WACV18 is the largest WAVC to date; jointly sponsored by the IEEE Society and the IEEE Biometrics Council.  Each year WACV continues to grow with active participation by academia, industry, and government representatives. The event’s combination of workshops, tutorials and main sessions all focus on providing in-depth information on cutting edge research advances in applications of computer vision technology.  Topics such as biometrics, deep learning, action recognition, surveillance, 3D reconstruction, tracking, detection, and vision and learning will be discussed in various formats such as presentations, poster sessions, and forums. This venue promotes collaboration, research and development, and insight into computer vision applications and technology.  Make sure to look at the recently published WACV18 program schedule for the list of events.

Details:

Kitware is a Silver Sponsor at this year’s WACV18.  Kitware sponsors this conference each year to support this community, recruit computer vision professionals, and to continue collaboration and engagement.  Anthony Hoogs, Ph.D., the Senior Director of Computer Vision at Kitware, is a General Co-Chair and is on the Steering Committee; serving WACV from a professional, intellectual, and organizational standpoint in order to help plan, organize, and cultivate the best environment for this community.  Kitware has a long-standing presence and level of participation at WACV as computer vision and deep learning are key elements to furthering advanced application development for various industries and for Kitware.

Kitware’s Computer Vision group recognizes how valuable advancing computer vision and deep learning is in order to greatly improve and push capabilities beyond their limits supporting academia, industry, and the DoD and Intelligence Communities.  Our main focus areas include deep learning, object detection and tracking, image and video scene understanding, image and video forensics, social multimedia analysis, complex activity, event, and threat detection, 3D vision, and super resolution. However, we are not limited and continuously explore and participate in other research and development for our customers and our partners.  We partner with many academic institutions such as Harvard, Massachusetts Institute of Technology, Cornell University, University of California, Berkley, and Texas A&M University. We have worked with various agencies, such as the Defense Advanced Research Project Agency (DARPA), Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), Intelligence Advanced Research Projects Activity (IARPA) and the U.S. Air Force.  Kitware has developed and deployed an operational Wide Area Motion Imagery (WAMI) tracking systems for Intelligence, Surveillance, and Reconnaissance (ISR) in theatre, providing analysts with exploitation capabilities that fuse sensors, platforms, and people. Our work with DARPA on Squad-X has led to extensive research, development, and deployment of robust methods to more accurately identify and track objects and people, delivered straight to the soldier on the ground.  In addition, Kitware is continually improving their KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains.  Please visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.

Contact:

Please reach out to computervision@kitware.com to schedule meetings throughout this event.  Anthony Hoogs will be on-hand for in depth conversations. We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision and deep learning as well as our cutting-edge open source vision software, KWIVER.

Kitware will present research in maritime video analytics at the Second Annual Workshop on Naval Applications of Machine Learning (NAML) at SPAWAR in San Diego, CA, February 13-15.

Event Details:

The second annual workshop on NAML is a three day event with oral and poster presentations focused on autonomy, computer vision and cybersecurity for the Navy.  It will be held at the Topside location of SPAWAR Systems Center Pacific with participation from the Navy, Department of Defense (DoD) and intelligence communities, as well as industry and academia.  According to the NAML website, the goals of this conference are to spread awareness of current machine learning research relevant to Navy applications, to connect machine learning researchers with experts in Navy needs and requirements, and to build and strengthen collaborations within the DoD research community.  Check out their website for more details and for the full agenda, which will be released soon.

Details:

Dr. Arslan Basharat, a Technical Leader in the Computer Vision Group at Kitware will speak about Small Target Detection using a Spatiotemporal Autoencoder.  This presentation will discuss methods Kitware uses to detect small targets, such as a boat or vessel, in aerial video collected from a distance on open water.  An unsupervised approach will be used to learn the visual appearance and dynamics of open water under various sea states, illumination conditions and viewing angles.  Using hours of videos of open water, Kitware is able to perform unsupervised training in order to address this challenging technical problem.  Be sure to regularly check in on the NAML website for an updated full agenda in order to attend this technical presentation.

Kitware’s Computer Vision group recognizes the value of advancing computer vision and deep learning in order to push capabilities beyond the state-of-the-art in supporting the Navy, DoD, Intelligence, and Law Enforcement communities.  We have worked with various agencies, such as the Defense Advanced Research Project Agency (DARPA), Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), and the Intelligence Advanced Research Projects Activity (IARPA).  Kitware has developed and deployed an operational Wide Area Motion Imagery (WAMI) tracking systems for Intelligence, Surveillance, and Reconnaissance (ISR) in theatre, providing analysts with exploitation capabilities that fuse sensors, platforms, and people.  Our work with DARPA on Squad-X has led to extensive research, development, and deployment of robust methods to more accurately identify and track objects and people, delivered straight to the soldier on the ground. In addition, Kitware is continually improving their KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains.  Please visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.

Contact:

Please reach out to computervision@kitware.com to schedule meetings throughout this event.  Arslan Basharat will be on-hand for in depth conversations.  We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision and deep learning as well as our cutting-edge open source vision software, KWIVER.

Director of Medical Computing Andinet Enquobahrie, Staff R&D Engineer Jeff Webb, Staff R&D Engineer Aaron Bray, R&D Engineer Samantha Horvath and Business Development Representative Libby Rose will exhibit at booth 611.

Technical Leader Michael Grauer, Principal Engineer Jean-Christophe Fillion-Robin, Senior R&D Engineer Johan Andruejol, R&D Intern Laura Pascal, R&D Intern Pierre Assemat and R&D Intern Jean-Baptiste Vimort will participate.

Presentations

Slicer Shape AnaLysis Toolbox (SlicerSalt)

By Laura Pascal

The collaborative project has applications in dental and craniofacial research.

Girder and SlicerCLIs in the Cloud

By Michael Grauer

The project allows users to save a scene from 3D Slicer in Girder. It also allows users to integrate an authenticated RESTful application programming interface (API) with 3D Slicer.

OpenVR projects

By Jean-Christophe Fillion-Robin

The projects focus on finalizing the integration of HTC Vive with 3D Slicer, thanks to the OpenVR module in the Visualization Toolkit (VTK).

 

Senior Director of Strategic Initiatives Stephen Aylward will present this invited talk to members of the Sheikh Zayed Institute for Pediatric Surgery Innovation of Children’s National Health System.

Senior Director of Strategic Initiatives Stephen Aylward will present this invited talk to members of the department of radiology at Johns Hopkins University. The abstract is as follows:

For the full potential of point-of-care ultrasound to be realized, these systems must be approached as if they were new diagnostic modalities, not simply as inexpensive portable ultrasound imaging systems. These systems must incorporate automated data analysis algorithms, rugged hardware, and specialized interfaces to guide novice users to properly place and manipulate an ultrasound probe and interpret its outputs. Furthermore, the outputs of a point-of-care ultrasound system should be quantitative measures and easy-to-understand reformulations of the acquired data, not b-mode images. It should be assumed that the expertise needed to interpret b-mode images will not be readily available at a point of care, e.g., when used by emergency medical service personnel to triage trauma patients or when used in schools to screen for scoliosis. This talk will discuss those applications and others, as ongoing research projects in collaboration with JHU and several other academic and industry partners.

The 9th IEEE International Workshop on Information Forensics and Security (WIFS) is just around the corner and is being held December 4-7 in Rennes France, at INRIA Rennes-Bretagne-Atlantique.  This annual event, organized by the IEEE Information Forensics and Security (IFS) Technical Committee of the IEEE Signal Processing Society, brings together international researchers and technical experts from a range of relevant disciplines in order to brainstorm and exchange new ideas to address and discuss emerging challenges focused on Information Security.  The 4-day technical conference will be packed with keynote lectures, technical sessions and tutorials including but not limited to topics such as forensics analysis, multimedia security, biometrics, and cybersecurity.

Kitware has a paper in the main program of this highly selective workshop. On Thursday, December 7 from 0900-1030, in a session on Image Forensics, Dr. Anthony Hoogs, Kitware’s Senior Director of Computer Vision, will brief the audience on Object Insertion and Removal in Images with Mirror Reflection, by Dr. Harry Sun and Dr. Hoogs. In this day and age, the ability to manipulate photos to control content and messages to share though the internet, press, and social media has become a reality.  This type of manipulation can have serious negative impacts.  To circumvent these malicious actions, methods to determine whether or not this manipulation has occurred are needed.  Being able to detect photo manipulation, such as object insertion and removal, are key elements that can be used to accurately determine whether images have been altered.  Kitware will discuss their reflection integrity assessment for images with strong mirror reflections in order to detect when objects have been inserted in images or items have been removed.  By predicting reflection locations and geometry using scene content, and then comparing reflections with the objects that are directly observed in the images, inconsistencies can be detected indicating potential manipulation.  Kitware proposes a reflection-invariant Bag-of-Features approach to detect and match points of interest with no prior knowledge.   Anthony will provide technical details on these techniques and demonstrate Kitware’s experimental results, which have been validated on 868 images of real-world scenes. Zhaohui H. Sun, Ph.D., co-authored this paper with Anthony Hoogs and is a member of Kitware’s Computer Vision Group and a Senior Member of IEEE.  Make sure to keep an eye on the Program Schedule as the schedule is tentative at this time.

Kitware’s Computer Vision Group specializes in cutting edge technologies and techniques utilizing computer vision deep learning in order to solve challenging video and image problems.  Our expertise developing robust capabilities such as image and video scene understanding, complex activity, event, and threat detection and image and video forensics continuously aids us in the creation of innovative algorithms and software for automated image and video analysis.

Please reach out to computervision@kitware.com to schedule a discussion with Anthony while he is at this highly respected technical conference.  We look forward to hearing from you and discussing how computer vision and deep learning can solve many challenging problems related to Information Security.

By invitation from the Molecular Sciences Software Institute, Dr. Marcus Hanwell is co-organizing and leading a workshop at Lawrence Berkeley National Laboratory on Nov 30 – Dec 1, 2017. Dr. Hanwell’s workshop will be titled “Quantum Chemistry Schema,” and his co-organizers are Dr. Daniel G. A. Smith of MolSSI, Dr. Bert de Jong of LBNL, and Dr. Aaron Virshup of Autodesk.

From the event page: “The goal of this workshop is to produce a schema that will provide API-like access to pre-existing quantum chemistry packages to enable more complex workflows. … This workshop will pull together a large group of academic and commercial program developers to refine the overall scope and desired aspect of the schema. For further information and current discussion please view the schema’s GitHub page. “

By invitation from the Molecular Sciences Software Institute, Dr. Marcus Hanwell is co-organizing and leading a workshop at Lawrence Berkeley National Laboratory on Nov 30 – Dec 1, 2017. Dr. Hanwell’s workshop will be titled “Quantum Chemistry Schema,” and his co-organizers are Dr. Daniel G. A. Smith of MolSSI, Dr. Bert de Jong of LBNL, and Dr. Aaron Virshup of Autodesk.

From the event page: “The goal of this workshop is to produce a schema that will provide API-like access to pre-existing quantum chemistry packages to enable more complex workflows. … This workshop will pull together a large group of academic and commercial program developers to refine the overall scope and desired aspect of the schema. For further information and current discussion please view the schema’s GitHub page. “

The Machine Learning & Artificial Intelligence (AI) Workshop, sponsored by the United States Geospatial Intelligence Foundation (USGIF), will be held on November 13th in Springfield, VA. Organized by the USGIF Machine Learning and AI Working Group, the workshop will highlight  technical leaders discussing challenges and strategic initiatives focused on AI, machine learning, cognitive computing, and deep learning in geospatial intelligence. 

Kitware’s Senior Director of Computer Vision, Dr. Anthony Hoogs, has been invited to participate in the panel titled “Hard Problems of Interest” scheduled for 12:45-13:30.  This classified break out session will also include professionals from Riverside Research, National Reconnaissance Office (NRO), Office of the Assistance Secretary of Defense for Research and Engineering (ASD) Department of Defense (DoD), and John Hopkins University Applied Physics Laboratory.  Dr. Hoogs will discuss hard deep learning problems in imagery such as generalizing from few training examples, higher-level reasoning and multi-INT fusion.  Kitware’s Computer Vision Group has significant experience in solving hard problems using deep learning with limited training examples, on satellite, aerial and ground-based imagery for geospatial intelligence.

Please reach out to computervision@kitware.com to schedule a time to meet with Anthony at this timely, unique workshop.  We look forward to seeing you there.

 

Kitware team members will be at booth 647 during the exhibition, which the conference will hold from November 13 to 16, 2017. Here, the following talks are scheduled. Come to a talk to learn how to get giveaways.

Tuesday, November 14, 2017

• At 11 a.m. MDT, Sébastien Jourdain will present Visualization on the Web with ParaViewWeb & vtk.js
• At 12:30 p.m. MDT, Robert Maynard will review CMake 3.10
• At 2 p.m. MDT, Cory Quammen will highlight What’s New in VTK & ParaView
• At 3:30 p.m. MDT, Alan Scott from Sandia National Laboratories will discuss work with ParaView

Wednesday, November 15, 2017

• At 11 a.m. MDT, Sébastien Jourdain will guide attendees through HPCCloud
• At 12:30 p.m. MDT, Cory Quammen will discuss What’s New in VTK & ParaView
• At 1 p.m., Sébastien Jourdain will review Visualization on the Web with ParaViewWeb and vtk.js
• At 2 p.m. MDT, Ken Moreland from Sandia National Laboratories will present VTK-m: Visualization on Modern Processors
• At 3:30 p.m. MDT, John Patchett from Los Alamos National Laboratory will provide the talk Deepwater Impact Data Set and ParaView

See Kitware team members is these other conference-related activities.

ISAV 2017: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization

• Kitware participant(s): Patrick O’Leary and Andrew Bauer
• Description: O’Leary is a member of the organizing committee, Bauer is on the programming committee and members of Kitware are co-authors on the papers “In Situ Summarization with VTK-m” and “The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman”
• Date(s): Sunday, November 12, 2017
• Time: 9 a.m. to 5:30 p.m. MDT

Intel HPC Developer Conference

• Kitware participant(s): Dave DeMarle
• Description: DeMarle will present “ParaView and VTK w/OSPRay and OpenSWR”
• Date(s): Saturday, November 11, to Sunday, November 12, 2017
• Time: 9 a.m. to 5:30 p.m. MDT

Large Scale Visualization with ParaView

• Kitware participant(s): Dave DeMarle
• Description: DeMarle will co-present the tutorial
• Date(s): Sunday, November 12, 2017
• Time: 8:30 am to 5 p.m. MDT

In Situ Analysis and Visualization with SENSEI

• Kitware participant(s): Andrew Bauer
• Description: Bauer will co-present the tutorial
• Date(s): Monday, November 13, 2017
• Time: 8:30 a.m. to 12 p.m.

On November 2, 2017, Dr. Stephen Aylward will present a seminar as part of VISE’s Fall 2017 series.

Title: Open Science and Computer-Augmented Point-of-Care Ultrasound.

Summary: Open science is a bridge between academia and industry, and it is a way to succeed in academia and industry. The first part of this talk will discuss the challenges and opportunities of open science and how open science can be incorporated into your work, to increase its impact and lead to success. The second part of this talk discusses point-of-care ultrasound. Dr. Aylward’s work in this area is driven by the premise that for the full potential of point-of-care ultrasound to be realized, these systems must be approached as if they were new diagnostic modalities, not simply as inexpensive portable ultrasound imaging systems. These systems must incorporate automated data analysis algorithms, rugged hardware, and specialized interfaces to guide novice users to properly place and manipulate an ultrasound probe and interpret its outputs. Furthermore, the outputs of a point-of-care ultrasound system should be quantitative measures and easy-to-understand reformulations of the acquired data, not b-mode images. It should be assumed that the expertise needed to interpret b-mode images will not be readily available at a point of care, e.g., when used by emergency medical service personnel or military medics to triage trauma patients or when used in schools to screen for scoliosis.

The seminar begins at 12:10 pm at Stevenson Center 5326. For more information, see the VISE Fall 2017 Seminar Series website or contact kitware@kitware.com.

Kitware’s Matt McCormick will be speaking at the PyData Triangle Meetup in Morrisville, NC on Nov 1, 2017. His presentation is titled “Multi-Dimensional, Multi-Modal Image Registration Methods.”

This year’s 2017 Joint Meeting of the Military Sensing Symposium (MSS) Specialty Groups on Battlespace Acoustic, Seismic, Magnetic, and Electric-Field Sensing and Signatures (BAMS) and the National Symposium on Sensor Data & Fusion (NSSDF) will be held October 31 through November 2 in Springfield, VA.  This notable Department of Defense (DoD) conference, sponsored by Army RDECOM ARMDEC, Army RDECOM CERDEC, Army Research Laboratory (ARL), Air Force Research Laboratory (AFRL), Office of Naval Research (ONR), and the Office of the Undersecretary of Defense will be held at the National Geospatial Intelligence Agency (NGA) and will include presentations, poster sessions, and technology specific sessions discussing critical technologies being developed and implemented for the DoD.

 

Kitware, a Bronze sponsor for this event, will be in attendance and has been selected to provide four technical presentations in the NSSDF meetings on October 31 and November 1.   NSSDF will focus on areas such as cyber situational awareness and situational understanding, methods for improved target tracking, new methods in data fusion, and disruptive technologies.  Kitware’s presentation titled “Fusing Visible and Infrared (IR) Video on Mobile Robots, UAVs and Warfighters for Real-Time, Squad-Level Situational Awareness” will be briefed on October 31 under Session N1D: Fusion.  A Kitware Computer Vision team member will discuss Kitware’s ongoing technology development to improve Intelligence, Surveillance, and Reconnaissance (ISR) capabilities of Army and Marine rifle squads, sponsored by the DARPA Squad-X Core Technologies program. Kitware and its collaborators, the University of Maryland and the University of Pennsylvania, are developing the THreat Reconnaissance and Exploitation from Audio-Video Target eXtraction (THREAT X) system, which focuses on utilizing unmanned systems, and fusing various sensors (Infrared (IR) and RGB) to build automated, intelligence video processing and alert mechanisms supporting the soldier on the ground without added burden.  Kitware has performed multiple data collections over extended periods of time in order to successfully build deep learning computer vision techniques to address person detection and threat classification in battlefield scenarios.  A quantified assessment of this system will be included.  Authors contributing to this project and this paper include Anthony Hoogs, Ph.D., Keith Fieldhouse, and Eran Swears, Ph.D.; all part of Kitware’s Computer Vision Team.

 

November 1, under Session N2B: Disruptive, Game-Changing Systemic and Technological Concepts, Kitware will brief Deep Learning for Object Detection and Object-based Change Detection in Satellite Imagery.  This presentation will discuss some of Kitware’s technological contributions to the Visual Global Intelligence and Analytics Toolkit (VIGILANT) program, funded by the Air Force.   Kitware is building an open, extensible software framework and demonstration system that will provide cutting-edge automated change detection, tipping, and cueing mechanisms for exploitation of commercial satellite imagery and video.  The system will integrate existing state-of-the-art algorithms from Kitware and the Rochester Institute of Technology (RIT) for satellite image registration, object detection, and object-based change detection incorporating the latest deep learning techniques to enable rapid adaptation to new changes, objects and/or sensor characteristics using the DIRSIG simulation tool.  VIGILANT is built on Kitware-developed open source frameworks for distributed processing and management of heterogeneous big data sources and leverages Kitware’s geographic visualization and analytics capabilities packaged into a modern, browser-based dynamic user interface.  Authors contributing to this project and this paper include Charles Law, Ph.D., Jason Parham, Ph.D., Matt Dawkins, Paul Tunison, David Stoup, Rusty Blue, Ph.D., Keith Feildhouse, Matt Turek, Ph.D., Anthony Hoogs, Ph.D., all from Kitware; S. Han, A. Farafard, J. Kerekes, E. Lentilucci, M. Gartley, A Savakis, T. Rovito, all from RIT; and S. Thomas and C. Stansifer from the Air Force Research Lab (AFRL).

 

Under Session N2C: Emerging Threats and Challenge Domains, Kitware will present on Automatic Pattern of Life Learning in Satellite Images through Graph Kernels.  This presentation will provide specific details and methods that are successfully being used to learn typical observed patterns in satellite images such as types and density of vehicles at a specific time of day.  Learning patterns can be very challenging due to issues related to different imaging conditions such as resolution, view angle, and sensor type modalities, like Electro-Optical (EO), Infrared (IR), and Hyperspectral Imagery (HSI). To address these, Kitware will brief a new, robust, and scalable approach based on graph modeling and rapid comparison through graph kernels to identify typical patterns in large satellite images. This approach builds upon the contents extracted automatically from the satellite images through deep learning models for object detection and semantic scene segmentation. Authors include John Moeller, Ph.D., Eric Smith, Ph.D., Arslan Basharat, Ph.D., Matt Turek, Ph.D., Anthony Hoogs, Ph.D., all from Kitware, and Erik Blasch from the Air Force Office of Scientific Research (AFOSR).

 

SegNet deep learning model for semantic segmentation has been extended for satellite images.

 

Finally, Under Session N2C, Kitware will brief on Using Convolutional Neural Networks (CNNs) for Content-Based Full Motion Video (FMV) Retrieval.  The amount of FMV data available to analysts due to the rapid growth in development and use of Unmanned Aerial Systems (UAS) has dramatically increased.  This poses many problems as automated analytic capabilities have not kept pace and there are very few tools available for alerting or archive search due to challenges related to low resolution, appearance variability, complex scenes, shadows, and other factors.  Deep learning shows great promise in automating the fundamental tasks of FMV, including object recognition, object-based retrieval, and image search.  Kitware will discuss Hierarchical Dynamic Video Exploitation (HiDyVE), which uses CNNs, a form of deep learning for imagery, to detect and describe objects in FMV streams and archives.  The CNNs are used for automatic target recognition when training data per object type is available, and for video search.  This system will be detailed and demonstrated on FMV data in order to show the audience how deep learning improves these capabilities vs. a traditional, non-deep learning approach.  Authors include Matt Dawkins, Roddy Collins, Ph.D., and Anthony Hoogs, Ph.D., all from Kitware’s Computer Vision team.    

 

Kitware’s Computer Vision group is a leader in building state-of-the-art algorithms and software for automated image and video analytics.  They work extensively with deep learning and computer vision to develop innovative solutions supporting the DoD.  Key focus areas include object detection and tracking, complex activity, event, and threat detection, image and video scene understanding, and image and video forensics.  Kitware’s open source business model and the Computer Vision group’s development of the KitWare Image and Video Exploitation and Retrieval Toolkit permits the DoD Intelligence and Operations communities the opportunity to utilize cutting edge technology bridging the gap between research code, production software, and operational evaluation.  It helps avoid expensive software duplication and redundancy, pushing our partners to accelerate development of newer, better capabilities to deliver to the warfighter sooner.

 

Please reach out to computervision@kitware.com to set up a discussion with Matt Turek, Keith Fieldhouse, and Rusty Blue during this meeting in order to discuss Kitware’s capabilities and technology contributions to the DoD.

This year’s 2017 Joint Meeting of the Military Sensing Symposium (MSS) Specialty Groups on Battlespace Acoustic, Seismic, Magnetic, and Electric-Field Sensing and Signatures (BAMS) and the National Symposium on Sensor Data & Fusion (NSSDF) will be held October 31 through November 2 in Springfield, VA.  This notable Department of Defense (DoD) conference, sponsored by Army RDECOM ARMDEC, Army RDECOM CERDEC, Army Research Laboratory (ARL), Air Force Research Laboratory (AFRL), Office of Naval Research (ONR), and the Office of the Undersecretary of Defense will be held at the National Geospatial Intelligence Agency (NGA) and will include presentations, poster sessions, and technology specific sessions discussing critical technologies being developed and implemented for the DoD.

 

Kitware, a Bronze sponsor for this event, will be in attendance and has been selected to provide four technical presentations in the NSSDF meetings on October 31 and November 1.   NSSDF will focus on areas such as cyber situational awareness and situational understanding, methods for improved target tracking, new methods in data fusion, and disruptive technologies.  Kitware’s presentation titled “Fusing Visible and Infrared (IR) Video on Mobile Robots, UAVs and Warfighters for Real-Time, Squad-Level Situational Awareness” will be briefed on October 31 under Session N1D: Fusion.  A Kitware Computer Vision team member will discuss Kitware’s ongoing technology development to improve Intelligence, Surveillance, and Reconnaissance (ISR) capabilities of Army and Marine rifle squads, sponsored by the DARPA Squad-X Core Technologies program. Kitware and its collaborators, the University of Maryland and the University of Pennsylvania, are developing the THreat Reconnaissance and Exploitation from Audio-Video Target eXtraction (THREAT X) system, which focuses on utilizing unmanned systems, and fusing various sensors (Infrared (IR) and RGB) to build automated, intelligence video processing and alert mechanisms supporting the soldier on the ground without added burden.  Kitware has performed multiple data collections over extended periods of time in order to successfully build deep learning computer vision techniques to address person detection and threat classification in battlefield scenarios.  A quantified assessment of this system will be included.  Authors contributing to this project and this paper include Anthony Hoogs, Ph.D., Keith Fieldhouse, and Eran Swears, Ph.D.; all part of Kitware’s Computer Vision Team.

 

November 1, under Session N2B: Disruptive, Game-Changing Systemic and Technological Concepts, Kitware will brief Deep Learning for Object Detection and Object-based Change Detection in Satellite Imagery.  This presentation will discuss some of Kitware’s technological contributions to the Visual Global Intelligence and Analytics Toolkit (VIGILANT) program, funded by the Air Force.   Kitware is building an open, extensible software framework and demonstration system that will provide cutting-edge automated change detection, tipping, and cueing mechanisms for exploitation of commercial satellite imagery and video.  The system will integrate existing state-of-the-art algorithms from Kitware and the Rochester Institute of Technology (RIT) for satellite image registration, object detection, and object-based change detection incorporating the latest deep learning techniques to enable rapid adaptation to new changes, objects and/or sensor characteristics using the DIRSIG simulation tool.  VIGILANT is built on Kitware-developed open source frameworks for distributed processing and management of heterogeneous big data sources and leverages Kitware’s geographic visualization and analytics capabilities packaged into a modern, browser-based dynamic user interface.  Authors contributing to this project and this paper include Charles Law, Ph.D., Jason Parham, Ph.D., Matt Dawkins, Paul Tunison, David Stoup, Rusty Blue, Ph.D., Keith Feildhouse, Matt Turek, Ph.D., Anthony Hoogs, Ph.D., all from Kitware; S. Han, A. Farafard, J. Kerekes, E. Lentilucci, M. Gartley, A Savakis, T. Rovito, all from RIT; and S. Thomas and C. Stansifer from the Air Force Research Lab (AFRL).

 

Under Session N2C: Emerging Threats and Challenge Domains, Kitware will present on Automatic Pattern of Life Learning in Satellite Images through Graph Kernels.  This presentation will provide specific details and methods that are successfully being used to learn typical observed patterns in satellite images such as types and density of vehicles at a specific time of day.  Learning patterns can be very challenging due to issues related to different imaging conditions such as resolution, view angle, and sensor type modalities, like Electro-Optical (EO), Infrared (IR), and Hyperspectral Imagery (HSI). To address these, Kitware will brief a new, robust, and scalable approach based on graph modeling and rapid comparison through graph kernels to identify typical patterns in large satellite images. This approach builds upon the contents extracted automatically from the satellite images through deep learning models for object detection and semantic scene segmentation. Authors include John Moeller, Ph.D., Eric Smith, Ph.D., Arslan Basharat, Ph.D., Matt Turek, Ph.D., Anthony Hoogs, Ph.D., all from Kitware, and Erik Blasch from the Air Force Office of Scientific Research (AFOSR).

 

SegNet deep learning model for semantic segmentation has been extended for satellite images.

 

Finally, Under Session N2C, Kitware will brief on Using Convolutional Neural Networks (CNNs) for Content-Based Full Motion Video (FMV) Retrieval.  The amount of FMV data available to analysts due to the rapid growth in development and use of Unmanned Aerial Systems (UAS) has dramatically increased.  This poses many problems as automated analytic capabilities have not kept pace and there are very few tools available for alerting or archive search due to challenges related to low resolution, appearance variability, complex scenes, shadows, and other factors.  Deep learning shows great promise in automating the fundamental tasks of FMV, including object recognition, object-based retrieval, and image search.  Kitware will discuss Hierarchical Dynamic Video Exploitation (HiDyVE), which uses CNNs, a form of deep learning for imagery, to detect and describe objects in FMV streams and archives.  The CNNs are used for automatic target recognition when training data per object type is available, and for video search.  This system will be detailed and demonstrated on FMV data in order to show the audience how deep learning improves these capabilities vs. a traditional, non-deep learning approach.  Authors include Matt Dawkins, Roddy Collins, Ph.D., and Anthony Hoogs, Ph.D., all from Kitware’s Computer Vision team.    

 

Kitware’s Computer Vision group is a leader in building state-of-the-art algorithms and software for automated image and video analytics.  They work extensively with deep learning and computer vision to develop innovative solutions supporting the DoD.  Key focus areas include object detection and tracking, complex activity, event, and threat detection, image and video scene understanding, and image and video forensics.  Kitware’s open source business model and the Computer Vision group’s development of the KitWare Image and Video Exploitation and Retrieval Toolkit permits the DoD Intelligence and Operations communities the opportunity to utilize cutting edge technology bridging the gap between research code, production software, and operational evaluation.  It helps avoid expensive software duplication and redundancy, pushing our partners to accelerate development of newer, better capabilities to deliver to the warfighter sooner.

 

Please reach out to computervision@kitware.com to set up a discussion with Matt Turek, Keith Fieldhouse, and Rusty Blue during this meeting in order to discuss Kitware’s capabilities and technology contributions to the DoD.

Kitwarean Marcus Hanwell is an invited speaker at the International Workshop and Short Course on the FRONTIERS OF ELECTRON TOMOGRAPHY in the Physical Sciences, happening Oct 23 – 26, 2017 at Lawrence Berkeley National Laboratory in Berkeley, CA. The event brings together leading experts, scientists, postdocs, and students in the field of electron tomography for a 2-day Frontiers Workshop immediately followed by a 2-day short course in electron tomography.

Dr. Hanwell will be conducting a hands-on tutorial for Tomviz, and will also present in the Frontiers Workshop on databases, storage, and visualization.

 

Kitware is making its presence felt at the International Conference on Computer Vision 2017, happening October 22-29 in Venice, Italy!

Computer vision experts will lead a tutorial on wildlife surveillance, which was selected through a competitive vetting process by the conference organizers. As a Bronze Sponsor, Kitware has a booth in the Expo where representatives from the United States and France offices will be available throughout the conference to discuss Kitware’s vision research and employment opportunities in France and USA.

This is an exciting opportunity to engage with the international vision community to share information on Kitware’s cutting-edge open source vision software, KWIVER, and ongoing research and development in computer vision and machine learning.

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Details:

On Sunday, October 22, Anthony Hoogs, the Senior Director of Computer Vision, will provide a tutorial related to Kitware’s current work with the National Oceanographic and Atmospheric Association (NOAA), titled “Open Source Software and Datasets for Wildlife Video Surveillance.” Dr. Hoogs is one of five organizers and speakers showcasing three major wildlife datasets, the existing analytics developed specifically for them, and the open source toolkits implementing those analytics. The importance of environmental monitoring will be front and center with talks on “Underwater Imagery and Video for Fisheries Stock Assessment,” “Underwater Visual Data for Coral Reef Fish Biodiversity Monitoring,” and “Identifying and Re-identifying Individual Animals for the Purpose of Population Assessment.”

Kitware’s Computer Vision group recognizes the potential for computer vision to greatly improve the breadth and depth of environmental monitoring through automating the analysis of images and videos from dedicated sensors, overhead imagery, and even social media. Through a contract with NOAA, Kitware is developing the open-source Video and Image Analytics for Marine Environments (VIAME) toolkit to integrate research developed by the NOAA Fisheries Strategic Initiative on Automated Image Analysis (AIASI)  members and others involved in underwater imagery. Dr. Hoogs is a member of the steering committee for this project.

VIAME is based on KWIVER, the KitWare Video and Image Exploitation and Retrieval toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains. The purpose of VIAME is to integrate efforts across international science centers, universities and businesses as an open-source system for analysis of underwater video and imagery for fisheries stock assessment. It enables the use of existing analytics and rapid, low-cost integration of new algorithms, workflows, and datasets to address unsolved environmental challenges using computer vision. The benefits that vision can provide are extensive and continually evolving.

Join Kitware and its partners for this tutorial to engage with international experts utilizing vision to improve environmental monitoring in terrestrial and marine domains.

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Contact:

Please reach out to computervision@kitware.com to schedule meetings throughout this event. Anthony Hoogs and Matt Dawkins from the U.S., and Bastien Jacquet and Pierre Guilbert from the France office will be on-hand for in depth conversations. Find out about Kitware’s computer vision research and capability development supporting academia, defense, environmental monitoring, and commercial domains.

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About the event:

ICCV is the premier international computer vision event combining high quality tutorials, workshops, and the main exhibition in order to fuel collaboration amongst students, academics, and industry researchers worldwide. This highly sought after event has limited capacity, according to the ICCV 2017 website, so be sure to register early. The value in attending is exponential as it provides international perspectives on vision techniques, research & development, open-source software, and their current and potential contributions to various domains.

CTO and Kitware co-founder Bill Hoffman will present “Open Source/Open Science Business Model.”

On October 9, 2017, Lucas Gandel, an R&D Engineer at Kitware SAS, will teach T2, a tutorial titled “Developing Virtual Reality applications with the Visualization Toolkit (VTK).”

Kitware is attending, sponsoring, and supporting IEEE Vis in Phoenix Arizona from Oct 1 – Oct 6 2017. Kitware is a silver level sponsor for the event. CEO Lisa Avila is among the Kitwareans planning to attend the conference, and Katie Osterdahl is a publicity team co-chair this year!

Kitwarean Aashish Chaudhary is also participating in The 7th IEEE Symposium on Large Data Analysis and Visualization (LDAV 2017), which will be held in conjunction to the conference.

More details to come about other attendees and presentations.

Distinguished Engineer and Kitware co-founder Charles Law will present “A Web-based, Open-source Data Management Platform Supporting Visualization and Analysis Plugins for Deep Learning in Diagnostic Pathology” from 2:30 to 3 p.m. PST Monday, October 2, 2017.