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Conference Paper

Reconstructing Human Shape and Motion from Multi-View Video

MPS-Authors
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de Aguiar,  Edilson
Computer Graphics, MPI for Informatics, Max Planck Society;

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Theobalt,  Christian       
Computer Graphics, MPI for Informatics, Max Planck Society;
Programming Logics, 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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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

de Aguiar, E., Theobalt, C., Magnor, M., & Seidel, H.-P. (2005). Reconstructing Human Shape and Motion from Multi-View Video. In 2nd European Conference on Visual Media Production (CVMP) (pp. 42-49). London, UK: The IEE.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-277F-7
Abstract
In model-based free-viewpoint video, a detailed representation of the time-varying geometry of a real-word scene is used to generate renditions of it from novel viewpoints. In this paper, we present a method for reconstructing such a dynamic geometry model of a human actor from multi-view video. In a two-step procedure, first the spatio-temporally consistent shape and poses of a generic human body model are estimated by means of a silhouette-based analysis-by-synthesis method. In a second step, subtle details in surface geometry that are specific to each particular time step are recovered by enforcing a color-consistency criterion. By this means, we generate a realistic representation of the time-varying geometry of a moving person that also reproduces these dynamic surface variations.