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一种自动检测棋盘角点的新算法
A New Algorithm for Automatically Detecting Chessboard Corners
【摘要】 提出了一种自动获取棋盘角点的新算法。该方法采用由粗到精的多层次检测策略,通过综合使用Radon变换、Harris算子以及Forstner算子,能够快速准确地提取出图像中的棋盘点。与传统方法相比,该算法具有两个明显的优点:无须人工干预,能够自动确定角点位置;定位精度高,角点的平均位置偏差在0.1个像素以内。
【Abstract】 A new algorithm for automatically extracting chessboard corners is presented. In this paper, the coarse-to-fine scheme is adopted and all the necessary corners can be obtained quickly and accurately through integration of Radon transform, Harris corner detector and Forstner detector. The algorithm has two traits relative to the traditional approach: the position of the corners can be determined automatically while not requiring manual interposition, and high precision could be acquired and the mean position error is below 0.1 pixels.
【关键词】 棋盘角点;
Radon变换;
Harris算子;
Forstner算子;
摄像机校准;
【Key words】 Chessboardcorners; Radon transform; Harris detector; Forstner detector; Camera calibration;
【Key words】 Chessboardcorners; Radon transform; Harris detector; Forstner detector; Camera calibration;
【基金】 广东省自然科学基金资助项目(001172;021759);教育部博士点基金(20020558037)资助项目;中山大学重点建设高水平大学专项基金资助项目
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2004年14期
- 【分类号】TP274
- 【被引频次】45
- 【下载频次】383