RT Journal Article
JF IEEE Transactions on Pattern Analysis & Machine Intelligence
TI Shape and Spatially-Varying BRDFs from Photometric Stereo
A1 Steven M. Seitz,
A1 Dan B Goldman,
A1 Brian Curless,
A1 Aaron Hertzmann,
K1 Shape/scene analysis
K1 reflectance digitization and image capture.
AB 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.
PB IEEE Computer Society, [URL:http://www.computer.org]