  We present a new color photometric stereo (CPS) method that recovers high
quality, detailed 3D face geometry in a single shot. Our system uses three
uncalibrated near point lights of different colors and a single camera. For
robust self-calibration of the light sources, we use 3D morphable model (3DMM)
and semantic segmentation of facial parts. We address the spectral ambiguity
problem by incorporating albedo consensus, albedo similarity, and proxy prior
into a unified framework. We avoid the need for spatial constancy of albedo;
instead, we use a new measure for albedo similarity that is based on the albedo
norm profile. Experiments show that our new approach produces state-of-the-art
results from single image with high-fidelity geometry that includes details
such as wrinkles.
