Checker Pattern detection in the presence of miscellaneous background objects is a challenging task in computer vision systems. In practical applications, the direct detection of corner points fails due to the illumination variation in the lighting system. A computationally efficient checker pattern detection method using morphological operations and contour tree validation is proposed. The proposed method is tolerant to illumination, rotation and scaling variation. Comparative analysis with corner detection demonstrates the viability of the proposed algorithm as a valuable tool for automatic camera calibration and 3D measurements.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@2626605d ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@21808d3c Through org.apache.xalan.xsltc.dom.DOMAdapter@7eb86f52; Conference Code:91953
A. S. Narayanan and Bijlani, K., “A practical solution to checker pattern detection based on contour validation”, in Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011, Las Vegas, NV, 2011, vol. 2, pp. 983-987.