3D Scene Reconstruction by Stereo Methods for Analysis and Visualization of Sports Scenes

Gelautz, Margrit; Bleyer, Michael; Markovic, Danijela; Rhemann, Christoph

doi:10.4230/DagSemProc.08372.3

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3D Scene Reconstruction by Stereo Methods for Analysis and Visualization of Sports Scenes

Authors Margrit Gelautz, Michael Bleyer, Danijela Markovic, Christoph Rhemann

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 8372
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2008-11-20

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DagSemProc.08372.3.pdf

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Document Identifiers

DOI: 10.4230/DagSemProc.08372.3
URN: urn:nbn:de:0030-drops-16871

Subject Classification

Keywords

Computer vision
stereo
visualization
novel view synthesis
image stylization

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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.

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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

Author Details

Margrit Gelautz

Michael Bleyer

Danijela Markovic

Christoph Rhemann

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