DocumentCode :
3210216
Title :
Radiometric calibration from a single image
Author :
Lin, Stephen ; Gu, Jinwei ; Yamazaki, Shuntaro ; Shum, Heung-Yeung
Author_Institution :
Microsoft Res. Asia, Beijing, China
Volume :
2
fYear :
2004
fDate :
27 June-2 July 2004
Abstract :
Photometric methods in computer vision require calibration of the camera´s radiometric response, and previous works have addressed this problem using multiple registered images captured under different camera exposure settings. In many instances, such an image set is not available, so we propose a method that performs radiometric calibration from only a single image, based on measured RGB distributions at color edges. This technique automatically selects appropriate edge information for processing, and employs a Bayesian approach to compute the calibration. Extensive experimentation has shown that accurate calibration results can be obtained using only a single input image.
Keywords :
belief networks; computer vision; image colour analysis; photometry; Bayesian approach; RGB distributions; camera exposure settings; camera radiometric response; color edges; computer vision; edge information; multiple registered images; photometric methods; single image radiometric calibration; Asia; Calibration; Cameras; Computer vision; Filters; Image analysis; Layout; Performance evaluation; Photometry; Radiometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2158-4
Type :
conf
DOI :
10.1109/CVPR.2004.1315266
Filename :
1315266
Link To Document :
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