原版的Yale人脸库（格式转换了一下），15个人，每人11张图片，灰度，png格式，100x100，有表情、光照和眼镜变化，已剪裁和对齐

The CAS-PEAL face database has been constructed under the sponsors of National Hi-Tech Program and ISVISION by the Face Recognition Group of JDL, ICT, CAS. The goals to create the PEAL face database include: providing the worldwide researchers of FR community a large-scale Chinese face database for training and evaluating their algorithms; facilitating the development of FR by providing large-scale face images with different sources of variations, especially Pose, Expression, Accessories, and Lighting (PEAL); advancing the state-of-the-art face recognition technologies aiming at practical applications especially for the oriental. Currently, the CAS-PEAL face database contains 99,594 images of 1040 individuals (595 males and 445 females) with varying Pose, Expression, Accessory, and Lighting (PEAL). For each subject, 9 cameras spaced equally in a horizontal semicircular shelf are setup to simultaneously capture images across different poses in one shot. Each subject is also asked to look up and down to capture 18 images in another two shots. We also considered 5 kinds of expressions, 6 kinds accessories (3 glasses, and 3 caps), and 15 lighting directions. This face database is now partly made available (a subset named by CAS-PEAL-R1, contain 30,900 images of 1040 subjects) for research purpose only on a case-by-case basis only. JDL is serving as the technical agent for distribution of the database and reserves the copyright of all the images in the database.

CMU Multi-PIE人脸数据库包含超过750,000张337人的图像，这些图像在五个月内最多可​​记录四次。受试者在15个视点和19个照明条件下成像，同时显示一系列面部表情。此外，还获得了高分辨率正面图像。总的来说，数据库包含超过305GB的面部数据。 资源包括PIE照明子集（1154张人脸灰度图，32*32）和三个Pose05、Pose07、Pose09子集（分别包括3332张、1629张、859张人脸灰度图，64*64）。

这是用matlab语言编写的一段代码，可以在一幅图片上将人脸检测出来，并用矩形框框起来，然后裁剪下来，另存为图片。

ORL人脸数据库，已转换成png格式，共有40个人，每个人10张人脸

CVPR2015_CNN_Age and Gender Classification using Convolutional Neural Networks,res10_300x300_ssd_iter_140000.caffemodel,opencv_face_detector_uint8.pb,opencv_face_detector.pbtxt,gender_net.caffemodel,age_net.caffemodel

我们知道，dlib的人脸标注通常是68点的； 当然有些场合5点也够用了，这个是5点标注版本。

人脸检测matlab源码 face detection 人脸检测matlab源码 face detection

用JAVA编写的一个人工智能上的人脸识别程序。找了很久才找到的。至于东西好不好，您看来再说哦，有没有 骗人，您看了再说。只是源程序。有人为java能否写人脸识别。我觉得可以，这个是也是上课老师要求的，我找了很久才找到的。对您有帮助，那我很欣慰。没帮助，也请不要介意，只是大家的关注点不同。

基于树莓派的门禁管理系统，python opencv face++ 完整文档