人脸识别 人脸跟踪

基于opencv和VS2012的开发环境，可以实现对垂直往下拍摄的视频进行处理，可实现人数的自动计数，一般用于公交车、地铁、商场等公共场所的门口使用，存在一定误差，但是可实现基本需求，对新手来说有很大帮助，不过本人在实现调试的过程中出现了环境版本不兼容的问题，加载视频时就会死机，打开摄像头时会使VS崩溃，在分享程序的同时，也请大家互相交流共同进步。

Visual 2012 project demo for BF matching method using opencv246.

对图片中的人脸可以进行自动的标注，并显示出来。(The face of pictures can be automatic tagging, and displayed)

matlab对opencv库的调用，编译成功，可以直接使用，里面有安装过程，供大家学习(matlab opencv library call, the compiler is successful, can be used directly, there are installation process for them to learn)

说明：  vs opencv实现图像去雾处理vs opencv实现图像去雾处理(Image de fogging with vs opencv)

说明：  张正友OpenCv相机标定程序，是用vs2015写的，需要配置OpenCv环境。(Zhang Zhengyou OpenCv camera calibration program, written in vs2015, needs to configure the OpenCv environment.)

基于投影的二值图像感兴趣区域的识别标记

"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology

C# SDK for Face++ 人脸检测与分析 检测给定图片(Image)中的所有人脸(Face)的位置和相应的面部属性 检测模式可以是normal(默认) 或者 oneface 。在oneface模式中，检测器仅找出图片中最大的一张脸。 可以是none或者由逗号分割的属性列表。默认为gender, age, race, smiling。目前支持的属性包括：gender, age, race, smiling, 可以为图片中检测出的每一张Face指定一个不包含非法字符且不超过255字节的字符串作为tag，tag信息可以通过 /info/get_face 查询 检测给定人脸(Face)相应的面部轮廓，五官等关键点的位置，包括25点和83点两种模式。(Face Detection and Analysis Detecting the location and corresponding facial attributes of all faces in a given image The detection mode can be normal (default) or oneface. In oneface mode, the detector finds only the largest face in the picture. It can be none or a comma-separated list of attributes. The default is gender, age, race, smiling. Attributes currently supported include gender, age, race, smiling. Each Face detected in a picture can be tagged with a string that does not contain illegal characters and does not exceed 255 bytes. The tag information can be queried by / Info / get_face. The location of key points such as facial contour and facial features for a given face (Face) is detected, including 25 points and 83 points.)

整合了retinex 直方图均衡化 基于对数log 基于拉普拉斯算子对视频进行实时增强