角点检测主要应用于运动检测，图像匹配，目标跟踪，三维建模和目标识别等领域.
Types of Image Features
- Edges
- Corners(also known as interest points)
- Blobs(also known as regions of interest)
in this tutorial we will study the corner features, specifically.
关于角点的具体描述大体如下：
- 一阶导数的局部最大所对应的像素点；
- 两条或两条以上边缘的交点；
- 图像中梯度值和梯度方向的变化率都很高的点；
- 角点处的一阶导数最大，二阶导数为零，它指示了物体边缘变化不连续的方向。
1.Harris corner detector;
function：cornerHarris（）
Result:
you can get the source code in Harris file.
2.Shi-Tomasi conrer detector;
function：goodFeaturesToTrack（）
Result:
you can get the source code in Shi-Tomasi file.
3.Generic Corner Detector;
- Use the OpenCV function cv::cornerEigenValsAndVecs to find the eigenvalues and eigenvectors
Result:
- Use the OpenCV function cv::cornerMinEigenVal to find the minimum eigenvalues for corner detection.
Result:
you can get the source code in Corner Detector file.
4.亚像素级 corner detector;
function: cornerSubPix()
Result:
you can get the source code in Sub pixel file.
开发环境：opencv3.20 + visual studio 2015.
如若，对您有帮助就给个小星星呀。