DocumentCode :
457033
Title :
Estimating Intrinsic Parameters of Cameras using Two Arbitrary Rectangles
Author :
Kim, Jun-Sik ; Kweon, In So
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., KAIST, Daejeon
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
707
Lastpage :
710
Abstract :
In this paper, we propose new camera calibration methods assuming a static camera. Two corresponding imaged rectangles whose aspect ratios are unknown are sufficient to calibrate a camera. By warping the images properly, we show that the information from the imaged rectangles can be transformed to the form of camera constraints. Based on these results, we propose two methods, one for three or more images and the other for only two images. The proposed methods are verified with synthetic and real images, and the results are comparable with less assumption on cameras and on scenes
Keywords :
cameras; computer vision; geometry; parameter estimation; camera calibration; camera constraints; camera intrinsic parameter estimation; image warping; Calibration; Cameras; Image sequences; Layout; Parameter estimation; Rendering (computer graphics); Robot localization; Robot vision systems; Robustness; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.500
Filename :
1698990
Link To Document :
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