搜索资源列表
FaceDetection
- Face detection -Face detection
facedetection
- 使用Matlab语言编写的关于人脸识别的最简单的人脸识别代码，简单易懂。-The use of Matlab language on the face recognition of the most simple face recognition code, easy to understand.
facedetection
- 简单人脸检测代码，
FaceDetection
- android基于opencv的人脸检测-face detection on android
facedetection(ycbcr)
- 首先实现基于肤色的人脸检测与追踪，然后可以定位眼睛的位置。-first it can detect face and tracking based on skin color,then it can detect the location of the eyes.
FaceDetection
- Face Detections Program
facedetection-and-graduate-paper
- 人脸检测含有一片毕业论文，很好，可以使用。-Face detection contains a thesis, very good, you can use.
FaceDetection
- 该程序实现功能：基于opencv的人脸检测 文件中包含人脸检测的训练集haarcascade_eye.xml和haarcascade_frontalface_alt2.xml-The program implements functions: Based on opencv face detection file contains face detection training set haarcascade_eye.xml and haarcascade_frontalface_alt2.xm
emgu cv facedetection
- emgu cv face detection
facedetection
- 人脸识别例子face fac-face read sample
FaceDetection-master
- 人脸检测，评价标准包括正确检出数、错误检出数和人脸合并数。-Face detection, uation criteria including the correct detection of the number of error detection and the number of face merged.
Adaboost-FaceDetection-master
- 用于人脸检测的haar+adaboost matlab的代码-For face detection haar+adaboost matlab code
FaceDetection
- 人脸识别小程序，人脸识些小程序，人脸区分-renlian shibie
cluster
- 通过聚类分析识别肤色进而识别人脸，聚类使用opencv自带函数完成的，使用前需配库(cluster analysis facedetection)
facedetection
- 基于opencv3.0的人脸检测，可以快速检测人力区域(Face detection based on opencv3.0)
FaceDetection
- 开发平台vs2012+opencv2.4.10;可以实现基于boosting的人脸检测。(Development platform vs2012 + opencv2.4.10; can be achieved based on boosting face detection.)
Luxand_FaceSDK_DemoC#
- Luxand_FaceSDK人脸识别功能，c#直接调用现有的dll，识别率不错(Luxand_FaceSDK face recognition function, c# directly call the existing DLL, the recognition rate is good)
FaceDetection
- seetaface 人脸检测 c++ 山世光老师的源码 只需配置环境即可运行(seetaface face detection c++)
accord-facedetection-source
- face detection algorithm in matlab
windows of facedetection
- 运用adboost算法的人脸检测的程序，做好mfc界面，用的opencv2.4.9，不同opencv版本要该配置文件(Adboost algorithm using the face detection program, do a good job MFC interface, using opencv2.4.9, different versions of OpenCV to the configuration file)