Title :
Research on camera self-calibration of highprecision in binocular vision
Author :
Jiang, Zetao ; Jia, Lianggang ; Guo, Shutao
Author_Institution :
Sch. of Inf. Eng., Nanchang Hangkong Univ., Nanchang, China
Abstract :
This paper presents a self-calibration method of binocular vision; First, to match the point coordinates to be normalized to calculate fundamental matrix. Then solving the Kruppa equation by decomposing the fundamental matrix, getting the camera parameters. By using the principle of the same name point lights Intersect at one point to get external camera parameters that dual camera relative position and attitude; Finally, by introducing the principles of camera non-linear distortion of regional adjustment to improve the accuracy of calibration. By comparison between simulation and experimental and real analysis, the result shows that the method is a relatively accurate and practical self-calibration binocular method.
Keywords :
calibration; computer vision; image sequences; matrix algebra; Kruppa equation; binocular image sequences; binocular vision; camera nonlinear distortion; camera self-calibration; dual camera relative position; external camera parameters; fundamental matrix; point coordinates; relative attitude; Accuracy; Calibration; Cameras; Equations; Mathematical model; Noise; Kruppa equation; binocular calibration; fundamental matrix; non-linear distortion;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
Conference_Location :
Baku
Print_ISBN :
978-1-61284-831-0
DOI :
10.1109/ICAICT.2011.6111011