PCV2023 is a half-day workshop at CVPR2023 which provides a forum for original research in computer vision and photogrammetry. PCV2023 invites submissions of high-quality research papers concerning the generation, processing, and analysis of images, 3D point clouds and surface models, with the goal of enhancing accuracy and completeness. Topics of interest include, but are not limited to:

  • Feature extraction, matching, and sensor orientation and sensor fusion
  • Structure from motion and SLAM
  • Stereo (multi-view) and surface reconstruction
  • 3D point cloud processing, segmentation, and classification
  • Multi-temporal analysis, dynamic scene understanding
  • 3D scene analysis and semantic segmentation

We especially encourage submissions that combine traditional P/CV with modern deep learning methods.


Ewelina Rupnik Ronny Hänsch Mozhdeh Shahbazi Jianzhu Huai Rongjun Qin
LaSTIG, UGE, ENSG-IGN DLR NRCanada Wuhan University The Ohio State University

Invited speakers

Important dates

  • Paper submission deadline: Mar 6 ‘23 Mar 10 ‘23 11:59 PM PST
  • Notification to authors: Mar 30 ‘23 Apr 3 ‘23
  • Camera-ready deadline: April 11 ‘23 11:59 PM PST



Société Française de Photogrammétrie et de Télédétection

International Society for Photogrammetry and Remote Sensing