Facial Cartography: Interactive Scan Correspondence (bibtex)
by Cyrus A. Wilson, Oleg Alexander, Borom Tunwattanapong, Pieter Peers, Abhijeet Ghosh, Jay Busch, Arno Hartholt, Paul Debevec
Abstract:
We present a semi-automatic technique for computing surface correspondences between 3D facial scans in different expressions, such that scan data can be mapped into a common domain for facial animation. The technique can accurately correspond high-resolution scans of widely differing expressions – without requiring intermediate pose sequences – such that they can be used, together with reflectance maps, to create high-quality blendshape-based facial animation. We optimize correspondences through a combination of Image, Shape, and Internal forces, as well as Directable forces to allow a user to interactively guide and refine the solution. Key to our method is a novel representation, called an Active Visage, that balances the advantages of both deformable templates and correspondence computation in a 2D canonical domain. We show that our semi-automatic technique achieves more robust results than automated correspondence alone, and is more precise than is practical with unaided manual input.
Reference:
Facial Cartography: Interactive Scan Correspondence (Cyrus A. Wilson, Oleg Alexander, Borom Tunwattanapong, Pieter Peers, Abhijeet Ghosh, Jay Busch, Arno Hartholt, Paul Debevec), In ACM/Eurographics Symposium on Computer Animation, 2011.
Bibtex Entry:
@inproceedings{wilson_facial_2011,
	title = {Facial {Cartography}: {Interactive} {Scan} {Correspondence}},
	url = {http://ict.usc.edu/pubs/Facial%20Cartography-%20Interactive%20Scan%20Correspondence.pdf},
	abstract = {We present a semi-automatic technique for computing surface correspondences between 3D facial scans in different expressions, such that scan data can be mapped into a common domain for facial animation. The technique can accurately correspond high-resolution scans of widely differing expressions – without requiring intermediate pose sequences – such that they can be used, together with reflectance maps, to create high-quality blendshape-based facial animation. We optimize correspondences through a combination of Image, Shape, and Internal forces, as well as Directable forces to allow a user to interactively guide and refine the solution. Key to our method is a novel representation, called an Active Visage, that balances the advantages of both deformable templates and correspondence computation in a 2D canonical domain. We show that our semi-automatic technique achieves more robust results than automated correspondence alone, and is more precise than is practical with unaided manual input.},
	booktitle = {{ACM}/{Eurographics} {Symposium} on {Computer} {Animation}},
	author = {Wilson, Cyrus A. and Alexander, Oleg and Tunwattanapong, Borom and Peers, Pieter and Ghosh, Abhijeet and Busch, Jay and Hartholt, Arno and Debevec, Paul},
	month = aug,
	year = {2011},
	keywords = {Graphics, Virtual Humans}
}
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