提出了利用角点信息提取嘴唇特征的方法。
A new method of incorporating corner information for mouth feature extraction is proposed.
通过SUSAN检测算子提取图像特征角点，利用快速RANSAC算法来实现图像的初配准。
The SUSAN detector was used to extract the feature corner from the images, and fast RANSAC algorithm was used to register the images approximately.
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。
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。
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.
研究通过提取运动目标的角点特征，获得目标的结构特征及速度特征的方法，实现目标的较精确识别和速度估计。
The method to acquire the construction and motion characteristic of the target whit high accuracy based on withdrawing the corner features of the target has been studied.
最后，本文对一种重要的图像特征——角点进行了研究，提出了一种新的基于交点累积空间的角点提取算法。
Lastly, based on the research of the important image feature, i. e. corner, a new Accumulative Intersection Space based corner detection method is developed.
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。
First of all, to improve the Harris corner detection algorithm, effectively improve the extraction of feature points of the speed and accuracy.
该方法利用电磁场理论表达图象特征，进而从特征图象中提取出角点。
Image features are represented using the theory of electromagnetics. Corners are detected in the vector potential of the field.
该方法利用电磁场理论表达图象特征，进而从特征图象中提取出角点。
Image features are represented using the theory of electromagnetics. Corners are detected in the vector potential of the field.
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