搜索资源列表
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)
facedetection
- 人脸作为图像与视频中最重要的视觉对象之一，是智能人机接口等许多应用的处理目标对象。近年来，人脸检测技术在模式识别、计算机视觉、人机交互等诸多领域引起了普遍重视。之所以人脸检测技术在当今计算机视觉等领域的研究中占有重要的地位并成为研究焦点，主要在于以下两个方面：一方面将人脸作为基本是绝对想来考虑，子等检测与定位人脸是实现人脸识别、人脸跟踪、表情识别、人联合成与人脸编码、唇读等技术的必要前提(Face is one of the most important visual objects in im
人眼检测
- 检测一幅图像中的人脸和人眼，分别绘制出来(To detect the face and human eyes in an image, draw them separately)
FaceDetection
- 人脸检测纯C++代码，由中科院计算所山世光研究员带领的人脸识别研究组研发。代码基于C++实现，且不依赖于任何第三方的库函数，开源协议为BSD-2(Face detection of pure C++ code, the calculation of face recognition research group led by the Chinese Academy of Sciences researcher Shan shiguang. The code is based on C++ imp
DetectsAndRecognizeFaces
- detect and crop tool for face align.
FaceDetection-
- face detection using matlab
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.)