Detecting dominant points is an important subject in pattern recognition and computer vision. Corner detection and polygonal approximation are two major approaches for dominant point detection.
景物的特征点抽取是模式识别及计算机视觉中的一个重要问题，已出现的多种检测特征点的方法中主要有角检测法和多边形逼近法。
We observed that corners are the saddle points in the vector potential. The saddle point detection algorithm is based on a simple template matching. The corner detection result is given.
提出图象的角点位于该矢势图的鞍点和基于模板匹配的鞍点检测算法，并给出实际的角点检测结果。
First of all, to improve the Harris corner detection algorithm, effectively improve the extraction of feature points of the speed and accuracy.
首先改进Harris角点检测算法，有效提高所提取特征点的速度和精度。
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