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