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Cloth Motion from Optical Flow

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45416

Scholz,  Volker
Computer Graphics, MPI for Informatics, Max Planck Society;
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44965

Magnor,  Marcus
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44965

Magnor,  M.
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  H.-P.
Computer Graphics, MPI for Informatics, Max Planck Society;

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Zitation

Scholz, V., & Magnor, M. (2004). Cloth Motion from Optical Flow. In Vision, modeling, and visualization 2004 (VMV-04) (pp. 117-124). Berlin, Germany: Akademische Verlagsgesellschaft Aka.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-2A4E-1
Zusammenfassung
This paper presents an algorithm for capturing the motion of deformable surfaces, in particular textured cloth. In a calibrated multi-camera setup, the optical flow between consecutive video frames is determined and 3D scene flow is computed. We use a deformable surface model with constraints for vertex distances and curvature to increase the robustness of the optical flow measurements. Tracking errors in long video sequences are corrected by a silhouette matching procedure. We present results for synthetic cloth simulations and discuss how they can be extended to real-world footage.