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Harris角点提取实现亚像素级摄像机自标定
引用本文:姚耀,胡仲翔,时小军,王一波.Harris角点提取实现亚像素级摄像机自标定[J].国外电子元器件,2009,17(5):61-62,65.
作者姓名:姚耀  胡仲翔  时小军  王一波
作者单位:装甲兵工程学院;
基金项目:国家自然科学基金重点项目(50735006)
摘    要:在摄像机自标定过程中,可根据Harris的检测算法提取对角点。该算法简单有效,非常稳定。在图像旋转、灰度、噪声影响和视点变换的条件下,与其他算子相比,是最稳定的一种点特征提取算子。为了获得亚像素级的角点坐标.需要引入迭代算法进行优化。试验证明该方法可大幅度提高摄像机的标定精度。

关 键 词:摄像机自标定  角点  Harris算法  亚像素  迭代算法

Camera self-calibration on a sub-pixel level to apply extract corners by Harris algorithm
YAO Yao,HU Zhong-xiang,SHI Xiao-jun,WANG Yi-bo.Camera self-calibration on a sub-pixel level to apply extract corners by Harris algorithm[J].International Electronic Elements,2009,17(5):61-62,65.
Authors:YAO Yao  HU Zhong-xiang  SHI Xiao-jun  WANG Yi-bo
Institution:Academy of Armored Force Engineering;Beijing 100072;China
Abstract:According to the Harris algorithm extract corners before proceed camera self-calibration.The algorithm is simple,effective,stable.It is a stablest extract algorithm of corners feature at conditions such as image rotating grey and noise influence and sight alternating,compared with other algorithm.Inorder to obtain the coordinates of the corners on a sub-pixel level,it needs to put an iterated method.It is tested that the accuracy of the camera calibration is enhanced largely.
Keywords:camera self-calibration  corner  Harris algorithm  sub-pixel  iterated algorithm  
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