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。
Lastly, based on the research of the important image feature, i. e. corner, a new Accumulative Intersection Space based corner detection method is developed.
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。
Stereo image matching based on SUSAN corner feature has been studied.
研究了最小核值相似区(SUSAN)角点特征的立体图像对匹配。
Motion corner points are chosen to form a feature vector, and the image intensity is used as a feature matching function to measure inter-frame movement of the vehicle.
该方法取运动角点为特征量，通过选择灰度相关函数为特征匹配函数，实现了车辆在一定帧差内移动距离的测量。
Motion corner points are chosen to form a feature vector, and the image intensity is used as a feature matching function to measure inter-frame movement of the vehicle.
该方法取运动角点为特征量，通过选择灰度相关函数为特征匹配函数，实现了车辆在一定帧差内移动距离的测量。
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