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  Motion Capture Using Joint Skeleton Tracking and Surface Estimation

Gall, J., Stoll, C., de Aguiar, E., Theobalt, C., Rosenhahn, B., & Seidel, H.-P. (2009). Motion Capture Using Joint Skeleton Tracking and Surface Estimation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09) (pp. 1-8). Los Alamitos: IEEE Computer Society.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-19BF-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-BB80-5
Genre: Conference Paper

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 Creators:
Gall, Jürgen1, Author           
Stoll, Carsten1, Author           
de Aguiar, Edilson1, Author           
Theobalt, Christian1, Author           
Rosenhahn, Bodo1, Author           
Seidel, Hans-Peter1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: This paper proposes a method for capturing the performance of a human or an animal from a multi-view video sequence. Given an articulated template model and silhouettes from a multi-view image sequence, our approach recovers not only the movement of the skeleton, but also the possibly non-rigid temporal deformation of the 3D surface. While large scale deformations or fast movements are captured by the skeleton pose and approximate surface skinning, true small scale deformations or non-rigid garment motion are captured by fitting the surface to the silhouette. We further propose a novel optimization scheme for skeleton-based pose estimation that exploits the skeleton's tree structure to split the optimization problem into a local one and a lower dimensional global one. We show on various sequences that our approach can capture the 3D motion of animals and humans accurately even in the case of rapid movements and wide apparel like skirts.

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Language(s): eng - English
 Dates: 2009-03-242009
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 520480
Other: Local-ID: C125675300671F7B-76CFE158D6F5470BC1257583005FD867-Gall2009b
 Degree: -

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Title: Untitled Event
Place of Event: Miami, USA
Start-/End Date: 2009-06-20 - 2009-06-25

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Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09)
Source Genre: Proceedings
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Publ. Info: Los Alamitos : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 8 Identifier: -