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We invite authors to submit unpublished papers that follow the theme and topics of our workshop.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 2022 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: https://cmt3.research.microsoft.com/OMNICV2022/

Papers should be follow the CVPR 2022 submission guidelines.

Important Dates:


(All dates are at 11:59 PM, Pacific Time.)

  • Paper submission deadline: March 21, 2022.

  • Notification to authors: April 4, 2022.

  • Camera-ready deadline: April 12, 2022.

  • Challenge submission deadline: TBA (see challenge website)

  • Workshop date: June 20, 2022, afternoon (exact schedule TBA)

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.