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  Dense Correspondence Finding for Parametrization-free Animation Reconstruction from Video

Ahmed, N., Theobalt, C., Rössl, C., Thrun, S., & Seidel, H.-P. (2008). Dense Correspondence Finding for Parametrization-free Animation Reconstruction from Video. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008) (pp. 1-8). Los Alamitos, CA: IEEE Computer Society.

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 Urheber:
Ahmed, Naveed1, Autor           
Theobalt, Christian1, Autor           
Rössl, Christian1, Autor           
Thrun, Sebastian2, Autor
Seidel, Hans-Peter1, Autor           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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Schlagwörter: -
 Zusammenfassung: We present a dense 3D correspondence finding method that enables spatio-temporally coherent reconstruction of surface animations from multi-view video data. Given as input a sequence of shape-from-silhouette volumes of a moving subject that were reconstructed for each time frame individually, our method establishes dense surface correspondences between subsequent shapes independently of surface discretization. This is achieved in two steps: first, we obtain sparse correspondences from robust optical features between adjacent frames. Second, we generate dense correspondences which serve as map between respective surfaces. By applying this procedure subsequently to all pairs of time steps we can trivially align one shape with all others. Thus, the original input can be reconstructed as a sequence of meshes with constant connectivity and small tangential distortion. We exemplify the performance and accuracy of our method using several synthetic and captured real-world sequences.

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Sprache(n): eng - English
 Datum: 2009-03-202008
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 427960
DOI: 10.1109/CVPR.2008.4587758
URI: http://dx.doi.org/10.1109/CVPR.2008.4587758
Anderer: Local-ID: C125756E0038A185-052B4E5D12A0B04EC12574190040B3E5-NaveedCVPR08a
 Art des Abschluß: -

Veranstaltung

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Titel: Untitled Event
Veranstaltungsort: Anchorage, Alaska
Start-/Enddatum: 2008-06-24 - 2008-06-26

Entscheidung

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Titel: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Los Alamitos, CA : IEEE Computer Society
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1 - 8 Identifikator: -