About
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.
Organisers
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|---|---|---|---|---|
| Ewelina Rupnik | Ronny Hänsch | Mozhdeh Shahbazi | Jianzhu Huai | Rongjun Qin |
| LaSTIG, UGE, ENSG-IGN | DLR | NRCanada | Wuhan University | The Ohio State University |
Invited speakers
- Derek Lichti, University of Calgary (confirmed)
- Konrad Schindler, ETH-Zurich, (confirmed)
- Federica Arrigoni, Politecnico di Milano, (confirmed)
Important dates
- Paper submission deadline:
Mar 6 ‘23Mar 10 ‘23 11:59 PM PST - Notification to authors:
Mar 30 ‘23Apr 3 ‘23 - Camera-ready deadline: April 11 ‘23 11:59 PM PST
Sponsors
