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Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1
Shape and Spatially-Varying BRDFs from Photometric Stereo
Beijing, China
October 17-October 20
ISBN: 0-7695-2334-X
Dan B. Goldman, University of Washington
Brian Curless, University of Washington
Aaron Hertzmann, University of Toronto
Steven M. Seitz, University of Washington
This paper describes a photometric stereo method designed for surfaces with spatially-varying BRDFs, including surfaces with both varying diffuse and specular properties. Our method builds on the observation that most objects are composed of a small number of fundamental materials. This approach recovers not only the shape but also material BRDFs and weight maps, yielding compelling results for a wide variety of objects. We also show examples of interactive lighting and editing operations made possible by our method.
Citation:
Dan B. Goldman, Brian Curless, Aaron Hertzmann, Steven M. Seitz, "Shape and Spatially-Varying BRDFs from Photometric Stereo," iccv, vol. 1, pp.341-348, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005
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