Shape and Spatially-Varying BRDFs from Photometric Stereo

被引:140
作者
Goldman, Dan B. [1 ]
Curless, Brian [2 ]
Hertzmann, Aaron [3 ]
Seitz, Steven M. [2 ]
机构
[1] Adobe Syst Inc, Seattle, WA 98103 USA
[2] Univ Washington, Dept Comp Sci & Engn, Seattle, WA 98195 USA
[3] Univ Toronto, Dept Comp Sci, Bahen Ctr, Toronto, ON M5S 2E4, Canada
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
Shape/scene analysis; reflectance digitization and image capture; RECONSTRUCTION; REFLECTANCE; RECIPROCITY;
D O I
10.1109/TPAMI.2009.102
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:1060 / 1071
页数:12
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