Title :
Shape and Spatially-Varying BRDFs from Photometric Stereo
Author :
Goldman, Dan B. ; Curless, Brian ; Hertzmann, Aaron ; Seitz, Steven M.
Author_Institution :
Adobe Syst., Inc., Seattle, WA, USA
fDate :
6/1/2010 12:00:00 AM
Abstract :
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.
Keywords :
photometry; rendering (computer graphics); stereo image processing; BRDF; interactive editing operations; lighting conditions; optimization-based method; photometric stereo; renderings; spatially-varying BRDF; Computer science; Constraint optimization; Design methodology; Image analysis; Image reconstruction; Layout; Material properties; Photometry; Reflectivity; Shape measurement; Shape/scene analysis; reflectance digitization and image capture.;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2009.102