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Unconstrained 3D face reconstruction
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
This paper presents an algorithm for unconstrained 3D face reconstruction. The input to our algorithm is an "unconstrained" collection of face images captured under a diverse variation of poses, expressions, and illuminations, without meta data about cameras or timing. The output of our algorithm is a true 3D face surface model represented as a watertight triangulated surface with albedo data or texture information. 3D face reconstruction from a collection of unconstrained 2D images is a
doi:10.1109/cvpr.2015.7298876
dblp:conf/cvpr/RothTL15
fatcat:viiemsm7yjeqdab5cchulyaxte