GPSDREKF

实现基于颜色的Kmeans图像分割，只是需要自己设定聚类中心数目，聚类中心初始化采用Kmeans++(Kmeans image segmentation based on color, but need to set the number of cluster centers, clustering center initialization using Kmeans++)

8邻域边缘连接，实现闭合边界跟踪，简单实用(8 neighborhood edge connector, to achieve closure boundary tracking, simple and practical)

车辆检测跟踪,采用matlab编程，可对车辆进行目标跟踪与检测(Vehicle detection and tracking)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

区域生长算法，通过设置种子点来实现,代码注释完整(region grow algorithm with matlab)

相机的单目标定，使用张正友标定法，可靠使用(The monocular camera calibration, using the zhangzhengyou calibration method, reliable use)

用delaunay三角剖分和网格填充对离散点云数据进行网格重建(Mesh reconstruction of discrete point cloud data using Delaunay triangulation and mesh filling)

Harris角点检测程序。选定图像中某以区域，通过设置角点的最大个数和最小个数来设定检测阈值。(Harris corner detection process. A selection of images to the region by setting the maximum number of corners and the minimum number to set the detection threshold.)

能够实现图像的纹理检测，可以直接调入一个图像然后得到纹理(to achieve the texture image detection, can be directly transferred to a texture image is then)

图像逆透视变换的示例，用于合成360度全景俯视图。(An example realizes the image processing of Inverse Perspective Mapping, which is used in composing 360 panorama planform.)