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  Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture

de Aguiar, E., Theobalt, C., Stoll, C., & Seidel, H.-P. (2007). Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture. In 2007 IEEE Conference on Computer Vision and Pattern Recognition, CVPR'07. - Vol. 6 (pp. 2502-2509). Piscataway, NJ, USA: IEEE.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1FC6-A Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1FC7-8
Genre: Konferenzbeitrag

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 Urheber:
de Aguiar, Edilson1, Autor           
Theobalt, Christian1, 2, Autor           
Stoll, Carsten1, Autor           
Seidel, Hans-Peter1, Autor           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

Inhalt

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Schlagwörter: -
 Zusammenfassung: We present a novel algorithm to jointly capture the motion and the dynamic shape of humans from multiple video streams without using optical markers. Instead of relying on kinematic skeletons, as traditional motion capture methods, our approach uses a deformable high-quality mesh of a human as scene representation. It jointly uses an image-based \mbox{3D} correspondence estimation algorithm and a fast Laplacian mesh deformation scheme to capture both motion and surface deformation of the actor from the input video footage. As opposed to many related methods, our algorithm can track people wearing wide apparel, it can straightforwardly be applied to any type of subject, e.g. animals, and it preserves the connectivity of the mesh over time. We demonstrate the performance of our approach using synthetic and captured real-world video sequences and validate its accuracy by comparison to the ground truth.

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Sprache(n): eng - English
 Datum: 2008-03-142007
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 356597
DOI: 10.1109/CVPR.2007.383296
Anderer: Local-ID: C12573CC004A8E26-2B73D31FDAD9D1EFC125729D0055DDAA-deAguiarCVPR2007
 Art des Abschluß: -

Veranstaltung

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Titel: Untitled Event
Veranstaltungsort: Minneapolis, USA
Start-/Enddatum: 2007-06-18 - 2007-06-23

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Titel: 2007 IEEE Conference on Computer Vision and Pattern Recognition, CVPR'07. - Vol. 6
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 2502 - 2509 Identifikator: ISBN: 1-424-41179-3