搜索资源列表
CameraFaceDetection
- 读摄像头并框出人脸的程序，工程为VS2013+OpenCV2.4.9，背景单一时识别较好。-Read camera and box application, make a face engineering VS2013+ OpenCV2.4.9, background when single recognition is better.
opencv2411Face-detection
- VS2013 OpenCV2.4.11人脸检测代码，该代码使用Haar特征分类器对图像中的人脸进行检测并圈出。-VS2013 OpenCV2.4.11 face detection code, the code USES the characteristics of Haar classifier to detect human faces in the images of the circle.
MutiplrFaceDetection
- 使用了OpenCV 2.4.11 和 VS2013 作了一个人脸识别code。可以在一张照片上识别人脸（多人）。每一个被识别的脸都会被画上圆圈。-Can detect multiple face in one picture
ConsoleApplication1
- 视频流人脸识别，环境是vs2013+opencv 2.4.1,在我电脑上完美运行-face detection in live videostream,it works well on my pc
facedetection2
- 用opencv库，在vs2013上面跑成功的人脸检测工程包，亲测，准确率还是阔以的-Using opencv library in vs2013 running above successful face detection works package, pro-test, the accuracy rate is still wide in the
caffe_src_LandMark(5pt)_vs2013
- 是github上的开源的人脸关键点定位，5点。用vs2013编译，我把整个依赖打包，因此你可以直接编译-The key point is the human face of the open source positioned on github, 5:00. With vs2013 compiler, I rely on the whole package, so you can compile
HW07
- 人脸识别，眼睛，口识别，还附加了照片识别(Face recognition, eye, mouth recognition, and also attached photo recognition)
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
Demo_for_Windows-master
- Arcsoft ArcfaceDemo for Windows, VS2013 C++ 虹软开源人脸识别比对引擎示例(Arcsoft ArcfaceDemo for Windows, VS2013 C++)
lifeface
- 使用了于仕琪老师训练的分类器，使用vs2013-64位平台，图片需从配置管理器调试中手动输入(Using the classifier of teacher Yu Shiqi training, using the vs2013-64 bit platform, the picture needs to be manually entered from the configuration manager debug.)
人脸检测OPENCV
- 使用VS2013编写+OPENCV2.49，能够读取图片并识别人脸，采用 分类器制作，调试通过，也可以改为摄像头