A Framework for motion-based mesh sequence segmentation

Romain Arcila 1, 2, * Kartik Buddha 3 Franck Hétroy 2 Florence Denis 1 Florent Dupont 1
* Auteur correspondant
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 EVASION - Virtual environments for animation and image synthesis of natural objects
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : In this paper, we present a complete framework to produce motion-based geometric segmentation of mesh sequences: each segment corresponds to a mesh region that tends either to move rigidly, or to be stretched in a uniform way. We take a sequence of meshes with varying number of vertices as input and match them by pairs. This allows us to find the approximated displacement vector of each vertex of the first frame all along the sequence. Using these displacement vectors, an initial segmentation is performed on the first pair of frames, clustering vertices into static, stretched and rigidly moving regions. This segmentation is then refined after each matching. Our segmentation is computed on the fly, and lets us find the exact frame when each transformation (rotation, translation, stretch) appears. We have validated our method both on dynamic meshes and unconstrained mesh sequences.
Type de document :
Communication dans un congrès
WSCG - International Conference on Computer Graphics, Visualization and Computer Vision, Feb 2010, Plzen, Czech Republic. pp.33-40, 2010
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Contributeur : Arcila Romain <>
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Dernière modification le : jeudi 19 avril 2018 - 14:38:03
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Romain Arcila, Kartik Buddha, Franck Hétroy, Florence Denis, Florent Dupont. A Framework for motion-based mesh sequence segmentation. WSCG - International Conference on Computer Graphics, Visualization and Computer Vision, Feb 2010, Plzen, Czech Republic. pp.33-40, 2010. 〈inria-00440672〉

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