VCPP

用于各种特征提取主成分分析法，如表情提取，人脸提取，识别分类等(For a variety of features to extract the principal component analysis (pca)，Such as expression extraction, face extraction, identification classification, etc)

说明：  全景图像拼接的源代码，可将多幅照片拼接为周视全景图像，很不错。(Panoramic image mosaic of the source code, multiple photos can be spliced for the week as the panoramic image, very good.)

VC++实现数字水印技术，在BMP位图中添加各种水印信息，程序分LSB和DWT嵌入方法。(VC++ implementation of digital watermarking technology, adding various watermarks in BMP bitmap, the program points LSB and DWT embedding methods.)

该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项(The program function is to achieve movement of vehicles on the road statistics. A small module function has the following: 1 solution for video frames and displayed. 2, the video training background image. 3, using the background image used by the background method of testing the prospects for video extraction, and conduct threshold processing, image segmentation, to identify mobile car-connected domain. 4, vehicle statistics. Interface package contains instructions and procedures related to the use of the steps and considerations)

mimics10中文教程，主要用于二维图形采集以后的三维重建(Mimics10 Chinese tutorial, it is mainly used for 2 d graphics after acquisition of 3 d reconstruction)

利用GPU加速的SIFT算法，实现影像匹配，并利用RANSAC进行粗差的剔除(GPU-accelerated use SIFT algorithm to achieve image matching, and use RANSAC removing coarse poor)

基于SVM与人工神经网络的车牌识别算法，使用了OpenCV的图像处理函数，在VS2013 + OpenCV 2.4.9平台上实现(SVM algorithm based on license plate recognition and artificial neural network, using OpenCV image processing function, implemented on VS2013+ OpenCV 2.4.9 platform)

刚才传的所有程序试验处理的图像(passed the test procedures to deal with all the images)

tld目标跟踪算法，很适合初学者，实时性很好。(To promote the informationization of the global Internet revolution, for global range of information processing and communication provides the operating platform,)

说明：  边缘检测算法 速度快 你一定会满意的。以前是要收费的。现在免费给你们。 源码经过测试真确无误。 (edge detection algorithm faster you will surely satisfied. Prior to the charges. Now free to you. Source tested truthful.)