Kinematic skeleton extraction based on motion boundaries for 3D dynamic meshes

Authors:
Halim Benhabiles;Guillaume Lavoué;Jean-Philippe Vandeborre;Mohamed Daoudi
Affiliations:
Le2i, UMR, CNRS, University of Bourgogne, France;Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR, France;LIFL, UMR Lille1, CNRS, University of Lille 1, France and Institut TELECOM, TELECOM Lille 1, France;LIFL, UMR Lille1, CNRS, University of Lille 1, France and Institut TELECOM, TELECOM Lille 1, France
Venue:
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Year:
2012

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Abstract

This paper presents a precise kinematic skeleton extraction method for 3D dynamic meshes. Contrary to previous methods, our method is based on the computation of motion boundaries instead of detecting object parts characterized by rigid transformations. Thanks to a learned boundary edge function, we are able to compute efficiently a set of motion boundaries which in fact correspond to all possible articulations of the 3D object. Moreover, the boundaries are detected even if the parts linked to an object's articulation are immobile over time. The different boundaries are then used to extract the kinematic skeleton. Experiments show that our algorithm produces more precise skeletons compared to previous methods.