Journal
ACM TRANSACTIONS ON GRAPHICS
Volume 33, Issue 6, Pages -Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2661229.2661284
Keywords
image-based hair modeling; dynamic capture
Categories
Funding
- National Natural Science Foundation of China [61272348, 61202235]
- Ph.D. Program Foundation of Ministry of Education of China [20111102110018]
- National Key Technology Research & Development Program of China [2014BAK18B01]
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Dynamic hair strands have complex structures and experience intricate collisions and occlusion, posing significant challenges for high-quality reconstruction of their motions. We present a comprehensive dynamic hair capture system for reconstructing realistic hair motions from multiple synchronized video sequences. To recover hair strands' temporal correspondence, we propose a motion-path analysis algorithm that can robustly track local hair motions in input videos. To ensure the spatial and temporal coherence of the dynamic capture, we formulate the global hair reconstruction as a spacetime optimization problem solved iteratively. Demonstrated using a range of real-world hairstyles driven by different wind conditions and head motions, our approach is able to reconstruct complex hair dynamics matching closely with video recordings both in terms of geometry and motion details.
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