Automatic checkerboard corner detection combined with gray features and energy minimization (ADGE)
Wang, YuanZhang1,2; Gao, Xiaohui2
2021
会议日期2021-06-20
会议地点Beijing, China
关键词checkerboard corner corner detection gray-level symmetry operator energy minimization non-maximum suppression
卷号12065
DOI10.1117/12.2601236
英文摘要In the camera calibration process, the checkerboard pattern has a wide range of applications. Aiming at the current checkerboard corner detection algorithms that have missed and misdetected situations, this paper proposes an automatic checkerboard corner detection algorithm that combines gray-scale features and energy minimization(ADGE). The ADGE first uses the proposed two sets of gray-level symmetry operators to process the image separately to extract the candidate corner points, and then uses the regional block mode to dynamically search for the local maximum value of the candidate corner points. It further constructs a reaction function to linearly solve the sub-pixel coordinates, and finally extracts all checkerboard corner points and sorts them by minimizing the energy function. Experimental results show that the corner points extracted by the ADGE have no missed and false detection, and the corner reprojection accuracy is 0.1298 pixels. The ADGE can meet the requirements of camera calibration and provide it with high-precision data. © 2021 SPIE.
产权排序1
会议录AOPC 2021: Optical Sensing and Imaging Technology
会议录出版者SPIE
语种英语
ISSN号9781510650053
内容类型会议论文
源URL[http://ir.opt.ac.cn/handle/181661/95659]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.University of Chinese Academy of Science, Beijing; 100049, China
2.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an; 710119, China;
推荐引用方式
GB/T 7714
Wang, YuanZhang,Gao, Xiaohui. Automatic checkerboard corner detection combined with gray features and energy minimization (ADGE)[C]. 见:. Beijing, China. 2021-06-20.
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