A Factorization-Based Approach for Articulated Nonrigid Shape, Motion and Kinematic Chain Recovery From Video

Recovering articulated shape and motion, especially human body motion, from video is a challenging problem with a wide range of applications in medical study, sport analysis, animation, and so forth. Previous work on articulated motion recovery generally requires prior knowledge of the kinematic cha...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2008-05, Vol.30 (5), p.865-877
Hauptverfasser:	Jingyu Yan, Pollefeys, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	3D scene analysis Algorithms Animation Applied sciences Articulated Artificial Intelligence Biological system modeling Biomechanical Phenomena - methods Buildings Chains Computer science control theory systems Computer vision Exact sciences and technology Factor Analysis, Statistical factorization method Human body Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Information Storage and Retrieval - methods kinematic chain Kinematics Motion Motion analysis Motion segmentation non-rigid Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry Recovery Segmentation Shape Studies Subspaces Video Recording - methods Video sequences Whole Body Imaging - methods
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