DagSemProc.08372.3.pdf
- Filesize: 0.5 MB
- 3 pages
Document
3D Scene Reconstruction by Stereo Methods for Analysis and Visualization of Sports Scenes
Authors
-
Part of:
Volume:
Dagstuhl Seminar Proceedings, Volume 8372
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2008-11-20
Cite AsGet BibTex
Margrit Gelautz, Michael Bleyer, Danijela Markovic, and Christoph Rhemann. 3D Scene Reconstruction by Stereo Methods for Analysis and Visualization of Sports Scenes. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/DagSemProc.08372.3
https://doi.org/10.4230/DagSemProc.08372.3
Abstract
The 3D reconstruction of image and video scenes by stereo analysis is an important topic in computer vision research. In this talk, we first present some principles of stereo algorithms and recent developments. We then demonstrate two applications of stereo reconstruction for the analysis and visualization of human movement: (a) We employ depth maps derived from sport scenes for novel view synthesis, and (b) we show how stereo processing can be used for expressive visualization of human motion in a comic-like style.
Keywords
- Computer vision
- stereo
- visualization
- novel view synthesis
- image stylization
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads