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360全景 720全景 VR 360度 720度 全景 漫游 最新添加功能： 1 支持视频播放。 2 支持多个场景 3 支持更换图片（全景图外部链接，XML配置）。(360 Panoramic 720 Panoramic VR 360 Degree 720 Degree Panoramic Walkthrough Latest Add Function: 1 Supports Video Playing. 2 Support multiple scenarios 3 support replacing pictures (panoramic external links, XML configuration).)

主要用来对矩阵进行奇异值分解，与MATLAB有同样的效果(It is mainly used to perform singular value decomposition on matrices and has the same effect as MATLAB.)

基于形态学的在Matlab下进行的图象骨架化及恢复,其中包含骨架化函数Frame和恢复函数refresh(based on the morphology of Matlab under the images of the skeleton and the restoration, which includes Frame function of the skeleton and the restoration of function refresh)

基于光线补偿的人脸检测。首先对图像进行光补，在此基础上结合肤色和发色进行人脸检测。(Light compensation based on face detection. First, the image light make up, in this based on the combination of color and hair color for face detection.)

实现bmp位图的图像放大缩小，包含整个mfc的源码文件。(Achieve bmp bitmap image zoom, contains the entire mfc source files.)

光流法，经典的LKPR-marzat算法，适合研究光流法的学者使用，可执行，无错误 (Optical flow method, the classic LKPR-marzat algorithm, for research scholars to use optical flow method, executable, error-free)

基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力(Hot and difficult of the current research areas of domestic and foreign feature point matching based the SIFT image registration program SIFT feature matching algorithm is its ability to match between the two images, can handle translation, rotation, affine transformation case match problem, even in some degree images taken at any angle with more stable feature matching ability)

Image Mosaicing interesting application in computer vision

阈值重心法实现光带中心线提取，可用于结构光扫描的模型建立，处理二值化图像等。(Threshold barycenter method is used to extract the center line of optical band. It can be used to model structured light scanning and process binary images.)

说明：  采用考虑湍流内外尺度影响的退化模型来恢复大气湍流降质图像，运用包含了湍流内外尺度影响的波结构函数、折射率谱以及薄透镜成像的退化函数导出了新的退化模型。(A new degradation model includling the influence of outer-and inner-scale of turbulence is presented to restore atmospheric turbulence degradation images. )