DocumentCode :
3018700
Title :
Photometric stereo with auto-radiometric calibration
Author :
Mongkulmann, Wiennat ; Okabe, Takahiro ; Sato, Yoichi
Author_Institution :
Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
fYear :
2011
fDate :
6-13 Nov. 2011
Firstpage :
753
Lastpage :
758
Abstract :
We propose a novel method for estimating surface normals and a radiometric response function of a camera at the same time. Photometric stereo assumes that a camera is radiometrically calibrated in advance, so that image irradiance values can be determined from observed pixel values. Our proposed method avoids such often cumbersome radiometric calibration of a camera by the simultaneous estimation of surface normals and a radiometric response function. The key idea of our method is to make use of the consistency; the irradiance values converted from pixel values by using the radiometric response function should be equal to the corresponding irradiance values calculated from the surface normals. We show that the simultaneous estimation results in a linear least-square problem with linear constraints. The experimental results demonstrate that our method can estimate surface normals accurately even when images are captured by using cameras with nonlinear radiometric response functions.
Keywords :
image resolution; image sensors; least squares approximations; nonlinear functions; radiometry; stereo image processing; auto-radiometric calibration; cumbersome radiometric calibration; image irradiance values; linear constraints; linear least-square problem; nonlinear radiometric response functions; photometric stereo; pixel values; surface normal estimation; Calibration; Cameras; Image color analysis; Light sources; Polynomials; Radiometry; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-0062-9
Type :
conf
DOI :
10.1109/ICCVW.2011.6130328
Filename :
6130328
Link To Document :
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