人脸识别系统的设计与实现

wincandide src ,candide-3 源码 和实例程序 测试有效 可实现人脸特征检测，对人脸进行快速三维重建

Based on a sparse representation computed by C1-minimization, we propose a general classification algorithm for (image-based) object recognition. This new framework provides new insights into two crucial issues in face recognition: feature extraction and robustness to occlusion. For feature extraction, we show that if sparsity in the recognition problem is properly harnessed, the choice of features is no longer critical. What is critical, however, is whether the number of features is sufficiently large and whether the sparse representation is correctly computed. Unconventional features such as downsampled images and random projections perform just as well as conventional features

首先搭建深度学习模型中的卷积神经网络，然后进行简单的人脸识别，用python语言编写，训练好的卷积神经网络可用于目标识别、图像识别和检测

opencv在python使用cascade进行多人脸识别的程序，简单方便。快速，占用少量内存。可复用

What is EBLearn? Eblearn is an object-oriented C++ library that implements various machine learning models, including energy-based learning, gradient-based learning for machine composed of multiple heterogeneous modules. In particular, the library provides a complete set of tools for building, training, and running convolutional networks. A face detector trained in eblearn (Scroll to bottom for detailed outputs)

使用OpenCV中提供的“haarcascade_frontalface_alt.xml”文件存储的目标检测利用opencv进行人脸检测，运用了adaboost的haar特征分类openCV人脸识别中正面人脸分类器haarcascade_frontalface_alt2.xmlhaarcascade_frontalface_alt.xml

基于Java的人脸识别，能够识别出人的性别，年龄，人种以及几率

VC开发实现的人脸识别系统，展示人脸识别的全过程，主要包括人脸区域标记、边缘提取、眼睛标记、嘴巴标记、鼻子标记以及人脸识别。

基于人脸识别的身份认证系统，主要功能包含人脸注册、人脸检测、人脸识别、人证核验等。

目前广泛流行的人脸识别开源工具，欢迎对人脸识别有兴趣的亲们下载