Title: A Framework for Motion-Based Mesh Sequence Segmentation
Authors: Arcila, Romain
Buddha, S. Kartik
Hétroy, Franck
Denis, Florence
Dupont, Florent
Citation: WSCG 2010: Full Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 33-40.
Issue Date: 2010
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_FULL-proceedings.pdf
http://hdl.handle.net/11025/10846
ISBN: 978-80-86943-88-6
Keywords: mřížková sekvence;animace mřížky;segmentace obrazu
Keywords in different language: mesh sequence;mesh animation;image segmentation
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.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2010: Full Papers Proceedings

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