DocumentCode :
556335
Title :
A Linear Camera Self-calibration Approach from Four Points
Author :
Huimin Cai ; Wei Zhu ; Kejie Li ; Meilian Liu
Author_Institution :
Sch. of Mechatronical Eng., Beijing Inst. of Technol., Beijing, China
Volume :
1
fYear :
2011
fDate :
28-30 Oct. 2011
Firstpage :
202
Lastpage :
205
Abstract :
In this paper a new approach for obtaining the intrinsic camera parameters based on circular points is proposed. This method just requires the camera to observe a planar pattern with square at a few different unknown orientations (at least three). With the image of four corner points of square we can obtain the image of circular points (ICPs) linearly. Without conic fitting, pattern matching and metric information of square, camera intrinsic parameters can be obtained automatically. This method is particularly useful for those people who want to get camera intrinsic parameters fast with relative high precision. Simulation and real planar pattern experiment show that the new approach is convenient, accurate and robust.
Keywords :
calibration; cameras; ICP; circular points; conic fitting; intrinsic camera parameters; linear camera self-calibration approach; metric information; pattern matching; Accuracy; Calibration; Cameras; Equations; Mathematical model; Noise level; Three dimensional displays; camera calibrationt; circular points; intrinsic parameters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1085-8
Type :
conf
DOI :
10.1109/ISCID.2011.59
Filename :
6079671
Link To Document :
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