| Literature DB >> 20431131 |
Dan B Goldman1, Brian Curless, Aaron Hertzmann, Steven M Seitz.
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.Year: 2010 PMID: 20431131 DOI: 10.1109/TPAMI.2009.102
Source DB: PubMed Journal: IEEE Trans Pattern Anal Mach Intell ISSN: 0098-5589 Impact factor: 6.226