基于kalman滤波和人脸形态约束的人脸跟踪算法实现，可在快速人脸跟踪的同时很好的去除类肤色的干扰，注意是基于OpenCV函数库的程序。...

一个SIFT特征检测的VC程序，SIFT特征检测在目标检测与识别中非常有用！-a physiology of the VC feature detection procedures, Detection characteristics of metabolism in target detection and identification is very useful! -SIFT feature detection of a VC program, SIFT feature detection in the target detection and recognition is very useful!-a physiology of the VC feature detection procedures, Detection characteristics of metabolism in target detection and identification is very useful!

本实验室编写的边缘检测代码，并且应用程序已为您创建了 动态链接库EdgeDetection.DLL。-The laboratory prepared edge detection code, and the application has been created for you a dynamic link library EdgeDetection.DLL.

遥感实习的成果。实现了计算植被指数的算法，包括：差值植被指数，比值植被指数，归一化植被指数，调整土壤亮度植被指数-The implementation of the algorithm for calculating vegetation indices, including: the difference vegetation index, the ratio vegetation index, normalized difference vegetation index, soil adjusted vegetation index brightness

这段代码是关于边界链码提取的,采用MATLAB编写,但是还有一些欠缺-This code is on the boundary chain code extraction, using MATLAB to prepare, but there are still some lack of

一个将二进制文件存储的Bayer格式的图像转为BMP格式图像显示并BMP格式并显示的桌面计算机程序-A windows Application Software that Convert Image from Bayer to BMP format.

实现了序列图像的柱面全景图拼接，采用的块匹配法，顺序进行块匹配功能，找到最佳匹配位置，进行线性融合法进行拼接。-Achieved a series of cylindrical panoramic image stitching, using a block matching method, in order to block-matching function to find the best match position, a linear fusion splicing method.

本程序为BP算法在一个简单分类中的应用,主要针对异或问题,有助于对本算法的理解

pca人脸识别matlab源码,其中提供了详细的步骤说明-PCA face recognition matlab source code, which provides a detailed description of the steps

本代码实现了基于BMP图像进行形态学运算等算法，算法已经过调试，希望对大家有帮助-Realize this code BMP image-based computing, such as morphological algorithm have been debug, and they hope to have everyone help

中科院自动化研究所关于图像边缘检测的课件，介绍了几种主要方法以及粒子滤波的介绍，希望对大家有帮助-Chinese Academy of Sciences Institute of Automation on the edge detection of the courseware, introduced several major methods and particle filter introduction.