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Robust 3D face capture using example-based photometric stereo
Authors:Rafael FV Saracchini  Jorge Stolfi  Helena CG Leitão  Gary A Atkinson  Melvyn L Smith
Affiliation:1. Institute of Computing, State University of Campinas, Brazil;2. Institute of Computing, Federal Fluminense University, Brazil;3. Machine Vision Laboratory, University of the West England, United Kingdom
Abstract:We show that using example-based photometric stereo, it is possible to achieve realistic reconstructions of the human face. The method can handle non-Lambertian reflectance and attached shadows after a simple calibration step. We use spherical harmonics to model and de-noise the illumination functions from images of a reference object with known shape, and a fast grid technique to invert those functions and recover the surface normal for each point of the target object. The depth coordinate is obtained by weighted multi-scale integration of these normals, using an integration weight mask obtained automatically from the images themselves. We have applied these techniques to improve the PhotoFace system of Hansen et al. (2010).
Keywords:Photometric stereo  Shape-from-shading  3D surface reconstruction  Facial geometry capture  Image processing
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