Dynamic Hair Capture
Report ID: TR-907-11Author: Rusinkiewicz, Szymon / Luo, Linjie / Li, Hao / Paris, Sylvain / Pauly, Mark / Weise, Thibaut
Date: 2011-08-00
Pages: 10
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Abstract:
The realistic reconstruction of hair motion is challenging because of hair's complex occlusion, lack of a well-defined surface, and non-Lambertian material. We present a system for passive capture of dynamic hair performances using a set of high-speed video cameras. Our key insight is that, while hair color is unlikely to match across multiple views, the response to oriented filters will. We combine a multi-scale version of this orientation-based matching metric with bilateral aggregation, a MRF-based stereo reconstruction technique, and algorithms for temporal tracking and de-noising. Our final output is a set of hair strands for each frame, grown according to the per-frame reconstructed rough geometry and orientation field. We demonstrate results for a number of hair styles ranging from smooth and ordered to curly and messy.