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。
An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR (on-line handwritten Chinese character recognition).
提出一个基于多重曲率计算的角点检测算法，对联机手写汉字识别中的笔划拐点进行提取。
Invariant corner detection is a most important preprocessing step for image shape classification and recognition.
在图像形态分类与识别系统中，不变性角点检测是很重要的预处理环节。
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