Motion graphs for unstructured textured meshes

F Prada, M Kazhdan, M Chuang, A Collet… - ACM Transactions on …, 2016 - dl.acm.org
ACM Transactions on Graphics (TOG), 2016dl.acm.org
Scanned performances are commonly represented in virtual environments as sequences of
textured triangle meshes. Detailed shapes deforming over time benefit from meshes with
dynamically evolving connectivity. We analyze these unstructured mesh sequences to
automatically synthesize motion graphs with new smooth transitions between compatible
poses and actions. Such motion graphs enable natural periodic motions, stochastic
playback, and user-directed animations. The main challenge of unstructured sequences is …
Scanned performances are commonly represented in virtual environments as sequences of textured triangle meshes. Detailed shapes deforming over time benefit from meshes with dynamically evolving connectivity. We analyze these unstructured mesh sequences to automatically synthesize motion graphs with new smooth transitions between compatible poses and actions. Such motion graphs enable natural periodic motions, stochastic playback, and user-directed animations. The main challenge of unstructured sequences is that the meshes differ not only in connectivity but also in alignment, shape, and texture. We introduce new geometry processing techniques to address these problems and demonstrate visually seamless transitions on high-quality captures.
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