基于改进Harris角点算法的摄像机标定技术研究

Research of Camera Calibration Technique Based on Improved Harris Corner

摘要:

针对传统的Harris角点提取算法对噪声敏感,执行效率低等不足,提出了一种改进的Harris角点提取方法;以Harris角点提取算法为基础,通过优化角点响应函数,消除系数K,提高角点提取算法的执行效率;采用改进的 Harris 算法对黑白棋盘表格进行内角点提取,利用张正友摄像机标定法计算USB摄像机的内外参数;实验结果证明了该方法可以有效的对黑白棋盘格内角点进行提取,准确高效,提高了摄像机的标定精度和准确性,是一种可行的摄像机标定方法。

Abstract:

For traditional Harris corner detection algorithm is sensitive to noise, and low execution efficiency, put forward an improved Harris corner detection method. On the basis of Harris corner detection algorithm, by optimizing the corner response function, remove the coefficient K, improve the execution efficiency of corner detection algorithm. Extract the corner of black and white chessboard by using the improved Harris algorithm and calculate the internal and external parameters of USB camera by using the Zhang zheng-you camera calibration method. The results show that this method can effective to extract the corner of black and white checkerboard, accurate and efficient, improves the precision of the camera calibration and is a feasible camera calibration method.