搜索资源列表
face
- OPENCV人脸检测程序，可以检测并标记出人脸区域。-OPENCV face detection program that can detect and mark the facial region.
Face-Detector-Based-On-OpenCV
- OpenCV的人脸检测程序，有可用于摄像头的代码注释-OpenCV face detector, can use the camera，and the codes are in comments.
face-test
- 这是一个利用OPENCV实现的人脸检测识别的程序的源码-This is an implementation using OPENCV Face Test source identification process
Face-recognition
- 1.本程序主要处理BMP位图。 2.为了方便读者学习，程序各步骤都被拆分开实现了，通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别，需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作，然后再打开需要比较的第二幅位图，也是依次进行所有操作，最后进行识别以区分先后两个人脸。-opencv Face recognition
face-detection
- opencv 人脸检测 自动检测跟踪人脸信息，使用直方图分析-opencv Face Detection automatically detects a face tracking information using the histogram analysis
face-recognition
- 利用opencv实现人脸识别与跟踪(人眼检测)。-opencv face recognition
人脸识别+基于linux+opencv
- 在Qt开发环境 应用opencv实现人脸识别。(Application of OpenCV to face recognition in Qt development environment.)
VC++ OPENCV人脸识别
- 基于OPENCV的VC++人脸识别程序，可以进行人脸比对并生成匹配系数(VC++ face recognition program based on OPENCV)
opencv
- opencv2.0/3.0，例程代码。包括图像显示，彩色目标跟踪，人脸识别等(Opencv2.0/3.0, routine code. Including image display, color target tracking, face recognition and so on)
asmlib-opencv-master
- opencv+asm 人脸识别，人脸特征点定位(Facial features extraction opencv+asm)
openCV-Practicefh
- 人脸识别： 相关功能： 1.将图像转换为灰度显示 2.应用高斯滤波器去除小的边缘 3.计算与画布边缘 4.修改边缘颜色 5.将Mat转换为Xcode的UIImageView显示(Face recognition: Related functions: 1. Convert the image to grayscale display 2. Use gaussian filter to remove small edges 3. Calculate the edge of th
opencv
- android 上opencv简单的人脸识别功能的java文件(Android opencv simple face recognition function on the java file)
FirstFaceDetect
- 基于OPENCV的人脸识别功能,能使用默认级联检查器检测正常人脸。(face detection based on opencv and c language.)
opencv
- 人脸识别，可直接实现照片的人脸识别，以及摄像头的人脸识别吗，识别度高(Face recognition, can directly realize the face recognition of photos, as well as the face recognition of the camera, high recognition)
OpenCV基于隐马尔可夫模型（HMM）的人脸识别
- OpenCV基于隐马尔可夫模型（HMM）的人脸识别源程序(OpenCV based on Hidden Markov model (HMM) for face recognition source program)
Python-opencv
- 利用Python在树莓派上实现一个人脸识别系统(Using Python to implement a face recognition system on raspberry pi)
OpenCV的人脸验证MFC程序
- 检测人脸，基于MFC界面。当录入照片后，摄像头再遇到相同的人脸能够识别出来。(Detection of face, based on the MFC interface. When the photos are recorded, the camera can be identified with the same face.)
python_face_recog
- 基于python+opencv 的 人脸识别，对一段视频进行读取，并检测出人脸，然后进行PCA 降维，最后用SVM进行人脸识别，识别率94%左右。(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 9
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
face-detection
- Normal Face detection source code using Haar Cascade Features in Python and C++