Call for Papers
Call for Papers:
We invite authors to submit unpublished papers that follow the theme and topics of our workshop. Accepted papers will be presented at a poster session, and exceptional papers will be invited additionally for oral presentation. All submissions will go through a double-blind review process. Papers will be selected based on relevance, significance, and novelty of results, technical merit, and clarity of presentation. Papers will be published in CVPR 2023 proceedings.
Submitted papers shall be:
Full-length papers (up to 8 pages + references), or
Short papers (4 pages, incl. references) having promising results inviting further research and development.
Survey or review papers (up to 8 pages + references) presenting a deeper dive into a pertinent track of research within omnidirectional vision.
Submissions should be made through the CMT website: Submission Site
Papers should follow the CVPR 2023 submission guidelines.
Important Dates:
(All dates are at 11:59 PM, Pacific Time.)
Paper submission deadline: March 17, 2023. March 24, 2023. Deadline Extended
Notification to authors: April 4, 2023.
Camera-ready deadline: April 12, 2023.
Challenge submission deadline: see challenge pages for the different challenges
Workshop date: June 19th, 2023, 13:00 to 18:00pm
Topics of Interest:
Computer vision techniques that natively use omnidirectional and wide FOV cameras (e.g. fisheye, catadioptric, polydioptric and 360° cameras) without image space linearization.
The transfer of computer vision algorithms for perspective images to omnidirectional image data.
Visual odometry and SLAM with omnidirectional and wide FOV cameras.
3D geometry estimation (e.g. stereo, SFM, MVS, etc.) using omnidirectional and wide FOV cameras.
Designing deep learning models for inference on omnidirectional and wide FOV images.
Indoor 3D modeling from omnidirectional images.
Omnidirectional and wide FOV image compression.
Omnidirectional and wide FOV camera calibration and camera models.
New omnidirectional image datasets.
View-mapping using omnidirectional camera networks (e.g. adaptive vehicle surround view, immersive virtual reality, imaging stitching on non-linear surfaces, etc.)
Other applications in, but not limited to, augmented reality, video surveillance, medical imaging, automotive, robotics, unmanned aerial and underwater vehicles and omnidirectional simulations.
Topics around the privacy implications of omnidirectional imaging (and privacy-preserving solutions).
Applications of omnidirectional imaging to address societal, environmental, and other problems that impact our world.