搜索资源列表
VGG_Face_Caffe_Model-master
- opencv摄像头实时检测人脸，vgg训练好的mod(Real time face detection of face by opencv camera)
faceall-sdk-java
- 人脸识别demo，主要是金融行业防欺诈，另外是安保行业摄像头人像搜索使用(Face recognition demo, mainly the financial industry to prevent fraud, and the security industry camera search for the use of human image.)
GWXFaceRec
- 单目摄像头，实时在线实现人脸检测功能，使用openCV。(single camera,release the function of face recongise)
face_eye_detection
- 本工程运行环境为VS2013+OPENCV2.4.10，打开摄像头即可检测到人脸和眼睛，直接把主函数换成txt文档中程序就可运行(The operation environment of this project is VS2013+OPENCV2.4.10. The face and eyes can be detected by opening the camera. The program can be run directly by replacing the main function
23115119-李杰-单片机实习资料
- 基于人脸识别和GSM的家居安放系统,伟福实验箱开发，2460摄像头加F407开发板(NOTHINGFASJDJAHDBVAHCABBACACACAXA)
NETSDK(20170706)
- 1.支持win64位下云登录功能。 2.设置码流V2接口的回调函数参数修改。 3.消息回调函数接口参数的修改。 4.优化接收和处理缓存，解决接收高分辨率图片数据问题。 5.增加智能编码，智能回放等功能接口。 6.增加车牌识别，人脸识别及其报警配置，模糊检测功能。(此为定制功能) 7.增加抓图接口中图片类型选择功能。 8.增加获取录像日历功能接口。(1. support the win64 bit cloud login function. 2. to modify the
getFaceInfo
- 从深度摄像头获取人脸图像，Face image acquisition from deep camera(Face image acquisition from deep camera)
face
- 系统介绍：基于树莓派官方系统stretch 系统，系统内安装了opencv3.3.0以及 tensorflow1.1.0 。人脸识别门禁的代码在里面目录/home/pi/face。内安装了深度学习的案例。 程序启动说明：开机前连接树莓派摄像头或网络USB摄像头，网络摄像头无需下面的设置。如使用树莓派摄像头则在终端输入 sudo nano /etc/modules-load.d/modules.conf 在最后添加一行添加 bcm2835-v4l2 ctrl+O回车保存 ctrl
select
- 本程序实现了人脸图片的快速采集，使用环境Python3.x,需要电脑连接摄像头，打开PythonIDLE，按下F5运行代码即可进行采集图片(This program has achieved the rapid acquisition of face images. The Python3.x of the environment needs computer to connect the camera, open PythonIDLE and press F5 to run the code
find people
- visual studio 2015平台上实现，摄像头识别人脸位置，并且与库中图片对比，识别人脸相似度。(On the visual studio 2015 platform, the camera recognise the face position and compare with the picture in the library to identify face similarity.)
人脸动态抓拍源码
- 刷身份证读身份证的信息和人脸照片，将人脸照片和摄像头拍照进行对比。原码(Brush the ID card to read the ID card information and face photos, compare the face photos with the camera photos. The original code)
adafruit-pi-cam-master
- 树莓派 OPENCV打开摄像头 人脸识别(Raspberry pie OPENCV open camera face recognition)
facerecognition
- JAVA开发的人脸识别,能通过摄像头识别人脸,识别率不错(JAVA developed face recognition, through the camera to identify the face, the recognition rate is good.)
Python-Tensorflow-Face-master
- Python人脸识别实现，可以打开摄像头进行多人人脸识别，需要一定的深度学习基础(Python face recognition implementation, you can open the camera for multi person face recognition, you need a certain depth of learning foundation.)
face_recognition-master
- USB摄像头人脸检测与识别，实时分析，实时获取人脸部信息，python语言开发。(Face detection and recognition of USB camera and real-time analysis.)
FVStream
- FVStream 人脸识别 基于人的脸部特征信息进行身份识别 摄像机或摄像头采集含有人脸的图像或视频流(FVStream face recognition Use cameras collect images or video streams containing faces.)
代码
- 利用笔记本摄像头输入人脸视频，进行自动心率估计。原理是人类血液对与各种频率的光照都有一定的吸收作用，而心跳会引起皮下的毛细血管血液流量变化，从而使皮肤的颜色在心跳的作用下进行周期性的变化。方法引用自论文Robust Pulse Rate From Chrominance-Based rPPG(Remote photoplethysmography (rPPG) enables contactless monitoring of the blood volume pulse using a reg
基于脸部动态特征的人脸表情识别程序
- 通过训练jaffe数据库，实现识别人脸高兴、惊讶、恐惧、生气等六种表情，并圈出。可调用电脑摄像头实时监测。内附有使用说明，可以使用。仅供学习参考。(Through training Jaffe database, six kinds of facial expressions, such as happiness, surprise, fear and anger, are recognized and circled. Real-time monitoring with a computer
real_time_recognize-master
- 从摄像头获取摄像头图像，进行实时人脸识别(Real-time Face Recognition by Capturing Camera Image from Camera)
基于摄像头的人脸识别程序
- 通过电脑摄像头采集视频图像，并且实时的进行人脸识别