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 new method of incorporating corner information for mouth feature extraction is proposed.
提出了利用角点信息提取嘴唇特征的方法。
Among the many image features, not only do the corners have the least amount of data, but also they are quite stable, which makes corner detection as an important branch of feature extraction.
在众多图像特征中，角点不仅具有最少的数据量，而且稳定性极高，这使角点检测成为特征提取的重要分支。
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。
For the need of the matching and image synthesis the method of extraction can detect the different features of corners and edges and precision of the corner location is relatively good.
根据匹配和新视点图像生成的需求，特征检测方法需要特征定位的精度较高，能同时检测出角点、边缘等不同特征等。
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。
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。
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