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Conference Paper

Cloth Motion from Optical Flow

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

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

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

/persons/resource/persons45449

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

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Citation

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.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2A4E-1
Abstract
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.