Multiview Face Capture using Polarized Spherical Gradient Illumination (bibtex)
by Abhijeet Ghosh, Graham Fyffe, Borom Tunwattanapong, Jay Busch, Xueming Yu, Paul Debevec
Abstract:
We present a novel process for acquiring detailed facial geometry with high resolution diffuse and specular photometric information from multiple viewpoints using polarized spherical gradient illumination. Key to our method is a new pair of linearly polarized lighting patterns which enables multiview diffuse-specular separation under a given spherical illumination condition from just two photographs. The patterns – one following lines of latitude and one following lines of longitude – allow the use of fixed linear polarizers in front of the cameras, enabling more efficient acquisition of diffuse and specular albedo and normal maps from multiple viewpoints. In a second step, we employ these albedo and normal maps as input to a novel multi-resolution adaptive domain message passing stereo reconstruction algorithm to create high resolution facial geometry. To do this, we formulate the stereo reconstruction from multiple cameras in a commonly parameterized domain for multiview reconstruction. We show competitive results consisting of high-resolution facial geometry with relightable reflectance maps using five DSLR cameras. Our technique scales well for multiview acquisition without requiring specialized camera systems for sensing multiple polarization states.
Reference:
Multiview Face Capture using Polarized Spherical Gradient Illumination (Abhijeet Ghosh, Graham Fyffe, Borom Tunwattanapong, Jay Busch, Xueming Yu, Paul Debevec), In Proceedings of SIGGRAPH Asia 2011/ACM Trans. on Graphics, volume 30(6), 2011.
Bibtex Entry:
@inproceedings{ghosh_multiview_2011,
	title = {Multiview {Face} {Capture} using {Polarized} {Spherical} {Gradient} {Illumination}},
	volume = {30(6)},
	url = {http://ict.usc.edu/pubs/Multiview%20Face%20Capture%20using%20Polarized%20Spherical%20Gradient%20Illumination.pdf},
	abstract = {We present a novel process for acquiring detailed facial geometry with high resolution diffuse and specular photometric information from multiple viewpoints using polarized spherical gradient illumination. Key to our method is a new pair of linearly polarized lighting patterns which enables multiview diffuse-specular separation under a given spherical illumination condition from just two photographs. The patterns – one following lines of latitude and one following lines of longitude – allow the use of fixed linear polarizers in front of the cameras, enabling more efficient acquisition of diffuse and specular albedo and normal maps from multiple viewpoints. In a second step, we employ these albedo and normal maps as input to a novel multi-resolution adaptive domain message passing stereo reconstruction algorithm to create high resolution facial geometry. To do this, we formulate the stereo reconstruction from multiple cameras in a commonly parameterized domain for multiview reconstruction. We show competitive results consisting of high-resolution facial geometry with relightable reflectance maps using five DSLR cameras. Our technique scales well for multiview acquisition without requiring specialized camera systems for sensing multiple polarization states.},
	booktitle = {Proceedings of {SIGGRAPH} {Asia} 2011/{ACM} {Trans}. on {Graphics}},
	author = {Ghosh, Abhijeet and Fyffe, Graham and Tunwattanapong, Borom and Busch, Jay and Yu, Xueming and Debevec, Paul},
	month = dec,
	year = {2011},
	keywords = {Graphics}
}
Powered by bibtexbrowser