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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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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-19BF-8 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-BB80-5
Genre: Konferenzbeitrag

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

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Schlagwörter: -
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2009-03-242009
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 520480
Anderer: Local-ID: C125675300671F7B-76CFE158D6F5470BC1257583005FD867-Gall2009b
 Art des Abschluß: -

Veranstaltung

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Titel: Untitled Event
Veranstaltungsort: Miami, USA
Start-/Enddatum: 2009-06-20 - 2009-06-25

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Titel: IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Los Alamitos : IEEE Computer Society
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1 - 8 Identifikator: -