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Shape and Spatially-Varying BRDFs from Photometric Stereo

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4 Author(s)
Goldman, D.B. ; Adobe Syst., Inc., Seattle, WA, USA ; Curless, B. ; Hertzmann, A. ; Seitz, S.M.

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.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:32 ,  Issue: 6 )

Date of Publication:

June 2010

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