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Temporally coherent mesh sequence segmentations

Romain Arcila 1, 2 Cédric Cagniart 3 Franck Hétroy 2 Edmond Boyer 2 Florent Dupont 1 
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : In this report, we consider the problem of fully automatic segmentation of mesh sequences, with or without temporal coherence. More precisely, our goal is to identify model parts that consistently move rigidly over time. We propose a novel framework that incrementally adapts segments along a sequence based on the coherence of motion information within each segment. In contrast to existing approaches, this framework handles meshes independently reconstructed at each time instant, provided that motion cues are available. It allows therefore for meshes with varying connectivity as well as varying topology. Experiments on various data sets in addition to a quantitative evaluation demonstrate the effectiveness and robustness of the approach.
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Submitted on : Tuesday, January 10, 2012 - 9:47:41 AM
Last modification on : Wednesday, October 26, 2022 - 8:15:04 AM
Long-term archiving on: : Tuesday, December 13, 2016 - 9:19:49 PM


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  • HAL Id : hal-00658060, version 2


Romain Arcila, Cédric Cagniart, Franck Hétroy, Edmond Boyer, Florent Dupont. Temporally coherent mesh sequence segmentations. [Research Report] RR-7856, INRIA. 2012, pp.20. ⟨hal-00658060v2⟩



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