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张正友相机标定法中的分步程序，包括计算单应矩阵程序、对标定图像进行初步处理的程序等(Zhang Zhengyou camera calibration method step by step procedures, including computing homography procedures for preliminary calibration of image processing procedures)

光伏逆变系统中的最大功率点跟踪算法，采用的是快速收敛的改进的变步长的电导增量方法，由s函数编写(maximum power point tracking method, using variable step size inc method,written by s-function)

详细介绍了常用的四中粒子重采样算法,并给出了他们的性能比较,对研究改进型粒子算法很有帮助,减轻很多工作负担(Details of the four commonly used particle resampling algorithm, and gives the performance of their comparison, the study of modified particle algorithm useful to reduce the burden of a lot of work)

图形处理，Visual C++数字图像识别技术典型案例源代码 5(Graphics processing , the Visual C++ digital image recognition technology to a typical case of source code 5)

本系统中VIS欠缺的SIFT_VC.lib文件。。。 http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html(This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library. It includes foreground detection, motion object detection, motion object tracking, trajectories generation and analysis modules. It realizes a friendly interface based on dialog, which provides a convenient example for new learners. keywords: opencv, mixture of gaussian model, sift feature and ransac method, mean shift, particle filter, kalman filter, object detection and tracking, video intelligent system.)

使用MATLAB实现基于等距离图象拼接的嵌套程序1(The use of MATLAB-based image stitching equidistant nested procedures 1)

说明：  数学形态学对信号进行去噪，效果较好，信号扰动特征得到很好保留(Mathematical morphology to signal de-noising effect is better to be a good signal to retain the characteristics of disturbance)

以SIFT特征为目标输入，LDAHash方法进行降维实现目标识别(SIFT features input LDAHash method to reduce the dimensionality of the target recognition)

联合贝叶斯人脸验证python代码，机器学习(Joint Bayes face verification)

这是一个利用python里微信机器人，然后获取微信好友的照片，然后利用图像处理，把照片合成在一张照片里。(This is a use of the python Weixin robot, and then get the pictures of Weixin friends, and then use image processing to synthesize the pictures in a picture.)