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Published on December 29, 2016 by Microsoft Research

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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3 Comments on "Dynamic Hair Capture using Spacetime Optimization"

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Sat☼ny-sama
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Sat☼ny-sama
4 months 20 days ago

Very impressive work. Could this technique be used in real time with a game engine ?

Ujjwal Garg
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Ujjwal Garg
4 months 22 days ago

it's mind blowing, but I feel that it could be more accurate if the hair in the simulation is lighter in weight.

ZhongXing Jin
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ZhongXing Jin
4 months 23 days ago

Amazing!

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