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《Chinese Journal of Scientific Instrument》 2011-05
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New corner detection algorithm of chessboard image for camera calibration

Yang Xingfang1,2,Huang Yumei1,Gao Feng1,Yang Xingang1,Han Xuzhao1(1 Xi'an University of Technology,Xi'an 710048,China;2 Xi'an Polytechnic University,Xi'an 710048,China)  
Camera calibration is a necessary step to obtain accurate three-dimensional information from two-dimensional images.The precision of camera calibration depends largely on the positioning accuracy of the image corresponding to the control points on calibration board;in view of this,the corner positioning problem of chessboard image is studied in this paper.Through analyzing image pixel types and their characteristics,the authors propose a new corner detection algorithm of chessboard image,which utilizes the change times of brightness on ring-shaped masks in a small neighborhood as the criterion.The proposed algorithm can not only detect the corners quickly but also distinguish the types of corners.According to this characteristic,the outermost chessboard corners,i.e.non X-type corners are excluded,which thereby ensures the precision of the detected corners from another aspect.In order to achieve sub-pixel precision,based on the high symmetry of chessboard image,the brightness gravity center method is used to position the corners in every local neighborhood of the initially positioned corner.Experimental results show that the proposed algorithm has high precision and can provide reliable data for high-precision camera calibration.
【Fund】: 国家科技重大专项(No.2009ZX04001-065)资助项目
【CateGory Index】: TP391.41
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