Show simple item record

dc.contributor.author黄宣达
dc.date.accessioned2017-11-14T03:19:50Z
dc.date.available2017-11-14T03:19:50Z
dc.date.issued2008-04-20
dc.identifier.citation计算机与数字工程,2008,(04):142-144
dc.identifier.issn1672-9722
dc.identifier.otherJSSG200804042
dc.identifier.urihttps://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.abstractA 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.isozh_CN
dc.subject角点检测
dc.subjectHarris算子
dc.subjectSVD
dc.subjectForstner算子
dc.subject摄像机标定
dc.subjectcorner 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.alternativeSub-pixel Corner Detection Algorithm in Camera Calibration
dc.typeArticle


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record