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。
In the field of the image registration based on the characteristics, image understanding and pattern recognition and so on, the corner extraction is of great significance.
在基于特征的图像配准、图像理解及模式识别等领域中，角点提取具有十分重要的意义。
A fast recognition algorithm is presented for interesting region extraction of an object based on corner features.
本文给出了一种基于角特征的目标兴趣区的识别算法。
Invariant corner features are often used in pattern recognition.
拐点特征是模式识别中经常用到的一类不变量。
Corner detection plays a very important role in Pattern Recognition and Computer Vision.
拐角检测在模式识别和机器视觉中有重要作用。
Corner detection plays a very important role in Pattern Recognition and Computer Vision.
拐角检测在模式识别和机器视觉中有重要作用。
应用推荐