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- 使用vs2005+opencv2.0实现人脸检测,使用人脸分类器,针对任意类型的图片类型,均可实现。-Achieved using vs2005+ opencv2.0 face detection, the use of face classifier, for any type of image types, may be achieved.
train
- 进行svm分类器的训练,作为人脸检测的人脸分类器-For svm classifier training as face detection face classifier
facedetec-vcPP
- 训练好的人脸分类器,可直接载入运行,基于adaboost的级联分类器-Trained face classifier, can be directly loaded to run, based on cascade classifier adaboost
gabor-pca
- 本程序是先用gabor小波变换对人脸图像处理,然后在用pca进行降维,最后用svm分类器进行多分类分类识别,包扩完整的orl人脸库,需注意的是,svm工具箱是用的libsvm工具箱,运行前先配置好libsvm。版本号:libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
gaborsvm1
- 先用gabor 小波滤波器,做特征提取,然后用支持向量机(SVM)做分类,来实现人脸检测.需要用matlab 2010 或更新的版本才能运行-the code is used for face detection.Firstly it use gabor wavelet filter for feature extraction,Secondly it use support vector machine (SVM)for classification.matlab 2010 required.
LBP
- LBP算法,应用于识别,特征提取等多方面的一种潜力算法,主要实现图像的纹理分类-LBP algorithm, used in recognition, feature extraction algorithms and other aspects of a potential,Mainly for image texture classification
PCA
- 采用数字图像主分量分析(PCA)算法实现人脸识别(身份认证或分类)-Principal components using digital image analysis (PCA) algorithm for face recognition (identity or category)
yunxing
- PCA+KNN人脸分类,对于给定样本,训练其中的一部分,在pca降维后,用knn分类-PCA+KNNFace classification
FLD_based-Face-Recognition-System_v2
- 用FLD分类器实现人脸分类,里面包含20张训练图片和十张测试图片-FLD classifier face classification, which contains 20 training images and 10 test pictures
cppOpenCVFace
- 用VC6.0编写的人脸识别软件,多文档界面。导入人脸图片后软件自动识别人脸。用的是opencv自带的人脸分类器-VC6.0 prepared face recognition software, multi-document interface. Face pictures after import software to automatically recognize faces. The opencv comes face classifier
face-recognition
- 稀疏表示人脸分类与识别,Mayi人脸分类识别框架,识别率非常高-sparse represention for face recognition
code
- 特征脸(Eigenface)是指用于机器视觉领域中的人脸识别问题的一组特征向量。使用特征脸进行人脸识别的方法首先由Sirovich and Kirby (1987)提出,并由Matthew Turk和Alex Pentland用于人脸分类。该方法被认为是第一种有效的人脸识别方法[来源请求]。这些特征向量是从高维矢量空间的人脸图像的协方差矩阵计算而来。-implementation of eigenface
MITfaces
- pca 结合svm 算法的人脸与非人脸分类程序。附带训练和测试样本。-pca svm algorithm combined with the human face and non-face classification procedure. With training and test samples.
dataset_604126
- Yale人脸数据库B扩展库(mat 格式)ExtendYaleB数据库,可以作为人脸分类分割实验数据-Yale face database B extension library (mat format) ExtendYaleB database can be used as face classification division of experimental data
基于Gabor-pca的人脸识别
- 人脸识别完整的程序,特征提取之后,然后用分类器识别。-face recognition
feret
- feret人脸识别数据库,用于人脸分类训练,分为训练集合测试集-feret face recognition for human face classification training, divided into a training set of test set
face_classify
- 简单人脸分类识别,人脸分类识别人脸分类识别,适合初学者-Simple human face classification recognition, suitable for beginners
基于PCA和三阶近邻的人脸识别
- 这是一个基于的主成分分析和三阶近邻分类器的人脸识别算法,算法用MATLAB编写,简单实用,保证能够运行出来,特别适合初学者使用学习。
PCA_gabor_svm
- Gabor小波变换和PCA降维在用SVM分类(Gabor wavelet transform and PCA dimension reduction are classified in SVM)
FaceRecSys
- 本程序为人脸识别系统,首先建立人脸库模块,然后对人脸库进行信息编辑以及训练人脸识别分类器,最后为人脸识别模块。采用的visual studio + opencv实现,界面清晰美观,实验效果较好。(The program for the face recognition system, the first establishment of the face library module, and then face the library for information editing and t