角点是图像中的重要特征,在图像配准与匹配、运动分析、目标识别、目标跟踪等领域中均得到了广泛的应用。

Moravec和Harris算法是计算机视觉领域中应用比较广泛的角点检测方法。介绍了Moravec和Harris及其改进等四种常

用的角点检测算法的实现原理及其特点,并对这四种方法进行了分析、比较,给出了它们的效率性能评价。然后通过实验

研究了它们在角点检测的速度、正确率和抗噪性等方面的差异,探讨了各种算法的优势和缺陷。最后,文章指出了角点检

测技术的研究与发展方向。

-Corner is an important feature, which has been used in image registration and matching, motion estimation, object recogni-

tion, target tracking. Moravec algorithm andHarris algorithm are two of themostwidely used cornerdetectingmethods in computer vi-

sion community. In thiswork, Moravec algorithm and threeHarris algorithms are studied, categorized and compared. The performance

evaluation of corner detection was investigated.Compared them with each other and evaluated them on efficiency, precision, accuracy.

The advantages and disadvantages of them were also investigated. Finally, pointout the future research and developmentdirection of cor-

ner detection.