DocumentCode :
2593322
Title :
Estimation of shape, reflection coefficients and illuminant direction from image sequences
Author :
Mukawa, Naoki
Author_Institution :
NTT Human Interface Lab., Tokyo, Japan
fYear :
1990
fDate :
4-7 Dec 1990
Firstpage :
507
Lastpage :
512
Abstract :
A comprehensive scene analysis algorithm that extracts object shape, reflection coefficients and illuminant direction from just sequential images expressed as luminance values is proposed. The proposed algorithm uses an optical model consisting of a light source, an object and a viewer. Within this framework, the algorithm allows for diffuse and specular reflection, variations in object reflection coefficients and shading. The first phase of the algorithm calculates three values: (1) the variation of inner product of illuminant direction and surface normal before and after motion, and (2) the variation of shading, as well as (3) the motion field. The second phase uses these values to recover not only object shape but also illuminant direction and reflection coefficients of the surface. The algorithm´s performance is confirmed through computer simulation. The reflection coefficients and the light source direction are estimated accurately while the recovered shape contains some errors
Keywords :
computer vision; computerised pattern recognition; computerised picture processing; digital simulation; comprehensive scene analysis algorithm; computer simulation; errors; illuminant direction; image sequences; inner product; light source; luminance values; motion field; object shape extraction; optical model; performance; reflection coefficients; shading; shape estimation; viewer; Computer simulation; Computer vision; Humans; Image sequences; Layout; Light sources; Lighting; Motion estimation; Optical reflection; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
Type :
conf
DOI :
10.1109/ICCV.1990.139583
Filename :
139583
Link To Document :
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