Authors: Dong-Sheng Zhou, Xiao-Yong Fang
Addresses: Key Laboratory of Advanced Design and Intelligent Computing (Dalian University), Ministry of Education, Dalian 116622, China; School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China. ' School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
Abstract: Owing to the simple and striking structure, chessboard is widely used as the camera calibration pattern. Locating the chessboard in an image is a prerequisite step during the calibration procedure, especially under the situation that there exists more than one chessboard with random relative positions in an image. A robust recognition method based on Fuzzy C-Means (FCM) clustering and Radon Transform (RT) algorithm is presented to solve the problem above. Experiments show that the method is effective to locate and distinguish the chessboards with a large and complicated background from each other. The proposed method also provides a possibility to calibrate a camera with one shot.
Keywords: camera calibration; chessboard localisation; FCM clustering; fuzzy C-means; Radon transform.
International Journal of Computer Applications in Technology, 2010 Vol.38 No.1/2/3, pp.221 - 227
Available online: 16 Jul 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article