Shape and Spatially-Varying BRDFs From Photometric Stereo
Goldman, D; Curless, B; Hertzmann, A; Seitz, S
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume PP, Issue 99, 0 Page(s):1 - 1
Digital Object Identifier   10.1109/TPAMI.2009.102
Summary:This paper describes a photometric stereo method designed for surfaces with spatially-varying BRDFs, including surfaces with both varying diffuse and specular properties. Our optimization-based method builds on the observation that most objects are composed of a small number of fundamental materials by constraining each pixel to be representable by a combination of at most two such materials. This approach recovers not only the shape but also material BRDFs and weight maps, yielding accurate rerenderings under novel lighting conditions for a wide variety of objects. We demonstrate examples of interactive editing operations made possible by our approach.

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