DocumentCode :
2402409
Title :
Efficient photometric stereo on glossy surfaces with wide specular lobes
Author :
Chung, Hin-Shun ; Jia, Jiaya
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Hong Kong
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents a new photometric stereo method aiming to efficiently estimate BRDF and reconstruct glossy surfaces. Rough specular surfaces exhibit wide specular lobes under different lightnings. They are ubiquitous and usually bring difficulties to both specular pixel removal and surface normal recovery. In our approach, we do not apply unreliable highlight separation and specularity estimation. Instead, an important visual cue, i.e. the cast shadow silhouette of the object, is employed to optimally recover global BRDF parameters. These parameter estimates are then taken into a reflectance model for robustly computing the surface normals and other local parameters using an iterative optimization. Within the unified framework, our method can also be used to reconstruct object surfaces assembled with multiple materials.
Keywords :
edge detection; image reconstruction; stereo image processing; global BRDF parameters; glossy surfaces; iterative optimization; photometric stereo method; rough specular surfaces; specular pixel removal; surface normal recovery; wide specular lobes; Brain modeling; Image reconstruction; Optical reflection; Photometry; Reflectivity; Robustness; Rough surfaces; Stereo image processing; Surface reconstruction; Surface roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location :
Anchorage, AK
ISSN :
1063-6919
Print_ISBN :
978-1-4244-2242-5
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2008.4587771
Filename :
4587771
Link To Document :
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