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Fast and precise kinematic skeleton extraction of 3D dynamic meshes

Julien Tierny 1 Jean-Philippe Vandeborre 1, 2, * Mohamed Daoudi 1, 2
* Corresponding author
LIFL - Laboratoire d'Informatique Fondamentale de Lille
Abstract : Shape skeleton extraction is a fundamental preprocessing task in shape-based pattern recognition. This paper presents a new algorithm for fast and precise extraction of kinematic skeletons of 3D dynamic surface meshes. Unlike previous approaches, surface motions are characterized by the mesh local length deviation induced by its transformation through time. Then a static skeleton extraction algorithm based on Reeb graphs exploits this latter information to extract the kinematic skeleton. This hybrid static and dynamic shape analysis enables the precise detection of objects' articulations as well as potentially-articulated immobile shape features. Experiments show that the proposed algorithm is faster than previous techniques and still achieves better accuracy.
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Submitted on : Wednesday, February 8, 2012 - 5:31:40 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:52 PM
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  • HAL Id : hal-00667997, version 1


Julien Tierny, Jean-Philippe Vandeborre, Mohamed Daoudi. Fast and precise kinematic skeleton extraction of 3D dynamic meshes. 19th IEEE International Conference on Pattern Recognition (ICPR 2008), Dec 2008, Tampa, Florida, United States. pp.MoBT8.22. ⟨hal-00667997⟩



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