Comprehensive Facial Performance Capture (bibtex)
by Graham Fyffe, Tim Hawkins, Chris Watts, Wan-Chun Ma, Paul Debevec
Abstract:
We present a system for recording a live dynamic facial performance, capturing highly detailed geometry and spatially varying diffuse and specular reflectance information for each frame of the performance. The result is a reproduction of the performance that can be rendered from novel viewpoints and novel lighting conditions, achieving photorealistic integration into any virtual environment. Dynamic performances are captured directly, without the need for any template geometry or static geometry scans, and processing is completely automatic, requiring no human input or guidance. Our key contributions are a heuristic for estimating facial reflectance information from gradient illumination photographs, and a geometry optimization framework that maximizes a principled likelihood function combining multi-view stereo correspondence and photometric stereo, using multi-resolution belief propagation. The output of our system is a sequence of geometries and reflectance maps, suitable for rendering in off-the-shelf software. We show results from our system rendered under novel viewpoints and lighting conditions, and validate our results by demonstrating a close match to ground truth photographs.
Reference:
Comprehensive Facial Performance Capture (Graham Fyffe, Tim Hawkins, Chris Watts, Wan-Chun Ma, Paul Debevec), In Eurographics 2011, 2011.
Bibtex Entry:
@inproceedings{fyffe_comprehensive_2011,
	title = {Comprehensive {Facial} {Performance} {Capture}},
	url = {http://ict.usc.edu/pubs/Comprehensive%20Facial%20Performance%20Capture.pdf},
	abstract = {We present a system for recording a live dynamic facial performance, capturing highly detailed geometry and spatially varying diffuse and specular reflectance information for each frame of the performance. The result is a reproduction of the performance that can be rendered from novel viewpoints and novel lighting conditions, achieving photorealistic integration into any virtual environment. Dynamic performances are captured directly, without the need for any template geometry or static geometry scans, and processing is completely automatic, requiring no human input or guidance. Our key contributions are a heuristic for estimating facial reflectance information from gradient illumination photographs, and a geometry optimization framework that maximizes a principled likelihood function combining multi-view stereo correspondence and photometric stereo, using multi-resolution belief propagation. The output of our system is a sequence of geometries and reflectance maps, suitable for rendering in off-the-shelf software. We show results from our system rendered under novel viewpoints and lighting conditions, and validate our results by demonstrating a close match to ground truth photographs.},
	booktitle = {Eurographics 2011},
	author = {Fyffe, Graham and Hawkins, Tim and Watts, Chris and Ma, Wan-Chun and Debevec, Paul},
	month = apr,
	year = {2011},
	keywords = {Graphics}
}
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