图像中的角点包含大量的信息，在计算机视觉中扮演重要角色，在许多应用中角点用作特征点，例如图像配准、运动目标跟踪等。鉴于此，学者们提出很多角点检测方法。例如Han...

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图像中的角点包含大量的信息，在计算机视觉中扮演重要角色，在许多应用中角点用作特征点，例如图像配准、运动目标跟踪等。鉴于此，学者们提出很多角点检测方法。例如Hans EMoravec在1977年提出的Movavec算法，Chris Harris和Mike Stephens于1988年提出的Harris算法，以及MirosavTrai．kovic和MarkHedley提出的Trajkovic算法等“卅。角点检测的另一个途径是计算轮廓的曲率函数，因为角点是曲率函数的最大值，因此很容易通过阈值的方法检测出来。-Corner of the image contains a large amount of information, play an important role in computer vision, in many applications as a corner feature points, such as image registration, moving target tracking. In view of this, scholars have raised a lot of corner detection methods. For example, Hans EMoravec in 1977, made Movavec algorithm, Chris Harris and Mike Stephens in 1988 proposed Harris algorithm, as well as MirosavTrai. kovic and MarkHedley algorithm proposed by Trajkovic, " thirty. Another way to corner detection is to calculate the contour of the curvature function, because the corner is the maximum curvature function, it is easy to pass the threshold used to detect them.