搜索资源列表
HaarFaceDetect
- 人脸检测领域经典的Haar人脸检测。使用OpenCV.-Face Detection classic Haar face detection. Use OpenCV.
adaboost_haar_bylaoYu
- 利用OpenCv开发的一个基于adaboost算法和haar小波变换的人脸算法,具体情况可参考Paul Viola ,Robust Real-Time Face Detection,2004-OPEN development of the use of an algorithm based on adaboost haar wavelet transform and the Face algorithm specific reference Paul Viola, Robust Real-Tim
ifdef
- 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR 01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。 -Face Detecti
VideoShow
- 这是一个朋友做的人脸检测软件，是基于OpenCV 做的，很具有参考价值-This is a friend to do face detection software is based on OpenCV do, it is very valuable reference
facetect_matlab
- Face-Detector, OpenCV Haar cascade object detection. Matlab interface for running haar-cascade object detectors from the Intel Open Computer Vision Library.
HMMsource
- HMM用于人脸识别，从OPENCV里提取出来的,非常经典的说-HMM for face recognition, OPENCV extract from the very classical said
face and lips
- opencv用来检测唇部和人脸，并且在图像窗口中添加一个新的矩形窗口-lips and face detects
Facetracking
- 使用OPENCV实现视频流中的人脸跟踪以及眼睛定位-The use of video streaming OPENCV implementation of the Human Face Tracking and Eye Location
facerecognition
- 采用OpenCV进行人脸识别，隐马尔科夫链的应用，由混合分量来分割HMM的每个内在状态的所有观测值，运用现有的图像观测值分割为所有嵌入和内部的HMM函数，计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the
blinkdetect-src
- 眨眼检测，先用haar特征框定人脸，然后用camshift跟踪人脸，根据几何特征得到人眼的大概位置，然后根据直方图的变化检测眨眼-Blink detection, the first feature with the haar framed face, and then use camshift tracking human face, according to the geometric features are the approximate location of the human ey
opencvsvd
- 关于openCV的一个使用实例用opencv做矩阵的SVD分解-opencv svd
facedetect
- 人脸检测，的程序计算机视觉，opencv-face detection code example computer vision
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
FaceDetection_MATLAB_Call_OpenCV
- 本程序在MATLAB中调用了OpenCV的AdaBoost检测器实现了人脸检测，还可用来学习MATLAB中调用C/C++代码的方法，研究人脸识别和希望熟悉MATLAB的同志们不妨试一试。-This procedure is called in MATLAB, OpenCV the AdaBoost detector implemented face detection, can also be used to learn MATLAB to call C/C++ code used to stu
adaboost_openCV
- vc6.0环境下，使用opencv,基于adaboost算法的人脸检测识别程序，可以对视频流进行 处理，需要安装opencv1.0。-the vc6.0 environment opencv face detection and recognition program based on the AdaBoost algorithm for processing the video stream, need installation opencv1.0.
Face-recognition-based-on-PCA
- 基于PCA的人脸识别 适用于样本文件数量较小，用opencv实现-PCA-based face recognition for smaller number of sample documents, using opencv
train-classification
- OpenCV人脸检测源代码,可用于进行对人脸的识别和处理-OpenCV face detection source code can be used to carry out face recognition and treatment
face_new_jpg
- OpenCV face detection using haar classifier and common implementation.
face_alignment
- 人脸识别中的face alignment实现，亲测可行(face alignment in opencv/Visual C++)
CNN人脸检测VS2015+Opencv310
- CNN人脸检测VS2015+Opencv310(cnn face detection VS2015+Opencv310)