DocumentCode
2770368
Title
Analyzing the bidirectional texture function
Author
Suen, Pei-hsiu ; Healey, Glenn
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
fYear
1998
fDate
23-25 Jun 1998
Firstpage
753
Lastpage
758
Abstract
The observed image texture for a rough surface has a complex dependence on the illumination and viewing angles due to effects such as local shading, interreflections, and the shadowing and occlusion of surface elements. We introduce the dimensionality surface as a representation for the visual complexity of a material sample. The dimensionality surface defines the number of basis features that are required to represent the space of observed textures for a surface as a function of ranges of illumination and viewing angles. Basis textures are represented using multiband correlation functions. We study properties of the dimensionality surface for real materials using the Columbia Utrecht Reflectance and Texture (CUReT) database. The analysis shows that the dependence of the dimensionality surface on ranges of illumination and viewing angles is approximately linear with a slope dependent on the complexity of the sample
Keywords
computational complexity; computer vision; image texture; Columbia Utrecht reflectance and texture database; bidirectional texture function analysis; dimensionality surface; illumination; image texture; interreflections; local shading; multiband correlation functions; occlusion; real materials; rough surface; shadowing; viewing angles; visual complexity; Data analysis; Image texture; Image texture analysis; Lighting; Reflectivity; Rough surfaces; Shadow mapping; Spatial databases; Surface roughness; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Conference_Location
Santa Barbara, CA
ISSN
1063-6919
Print_ISBN
0-8186-8497-6
Type
conf
DOI
10.1109/CVPR.1998.698688
Filename
698688
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