Harris角点检测算法的优化研究

Optimization of Harris Corner Detection Algorithm

在研究Harris角点检测算法时,发现检测出的角点常常会受到噪声的影响.通过优化Har-ris角点响应函数,避免了角点响应函数中k值的影响,提高了每个目标像素点的响应值精度.把该方法运用到人脸特征的检测中,实验结果表明,该算法和传统的Harris角点检测算法相比抗噪能力有较大提高.

This research focuses on the Harris corner detection algorithm, and finds that some corners are often influenced by noise. In this research, the response function of corner detection is optimized to avoid the influence of k. The precision of each target pixels＇feature response function is improved. When used to detect face features, the experimental results show that the anti - noise ability of this algorithm is greatly enhanced if compared with the Harris comer detection.