dc.contributor.author 黄宣达 dc.date.accessioned 2017-11-14T03:19:50Z dc.date.available 2017-11-14T03:19:50Z dc.date.issued 2008-04-20 dc.identifier.citation 计算机与数字工程,2008,(04):142-144 dc.identifier.issn 1672-9722 dc.identifier.other JSSG200804042 dc.identifier.uri https://dspace.xmu.edu.cn/handle/2288/156841 dc.description.abstract 针对摄像机标定中棋盘图像的角点检测问题,提出一种简单而有效的亚像素级角点检测算法。综合使用Harris算子、SVD方法、内插值法以及Forstner算子,能快速准确的提取棋盘图像的角点。该方法具有两个明显优点:利用SVD方法,能够自动去除歧义角点;定位精度高,摄像机标定实验中,角点的平均位置偏差在0.1个像素左右。 dc.description.abstract A sub-pixel corner detection algorithm for exacting chessboard corners in camera calibration is presented.All the necessary corners can be obtained quickly and accurately through integration of Harris corner detector,singular value decomposition,bilinear interpolation method and Forstner corner detector.The algorithm has two traits relative to the traditional approach: manage to handle diverged corner points,and high precision can be acquired and the mean position error is about 0.1 pixels. dc.language.iso zh_CN dc.subject 角点检测 dc.subject Harris算子 dc.subject SVD dc.subject Forstner算子 dc.subject 摄像机标定 dc.subject corner detection,harris detector,SVD,Forstner detector,camera calibration dc.title 摄像机标定中亚像素级角点检测算法 dc.title.alternative Sub-pixel Corner Detection Algorithm in Camera Calibration dc.type Article
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