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Section: New Results

Motion-based segmentation of mesh sequences

Participants : Romain Arcila, Franck Hétroy.

Mesh animations, or sequences of meshes, represent a huge amount of data, especially when acquired from scans or videos. In collaboration with the university of Lyon (LIRIS lab), we address the problem of partitioning these sequences, in order to both recover motion information and be able to compress them. Following last year's method, we proposed this year a second and third motion-based segmentation algorithm, which clusters mesh vertices into static or rigidly moving components (see Figure 5 ). These methods are based on spectral clustering of the vertex transformations and are more robust and general than the previous one. This work has been submitted for publication to a journal, and is part of the PhD thesis of Romain Arcila [1] .

Figure 5. Temporally varying segmentation of a mesh sequence, into rigidly moving components. Right hand and arm are merged at some time since they start to move accordingly. They are later split, when they start to follow different motions.
IMG/these_romain.png