搜索资源列表
FaceRec
- 人脸识别 PCA和SVM 人脸识别算法，人脸库pgm文件-This fold is a PCA and SVM face recoginise
SVM
- 这个程序主要是用来分类的，属于模式识别范畴。这里的支持向量机主要是用在人脸识别中-This program is mainly used for sorting, belong pattern recognition category. Here SVM is mainly used in face recognition
SVM-judging-whether-wearing-glasses-
- 人脸识别，基于svm算法检测人脸是否配戴眼镜-Face recognition, face detection algorithm based on svm whether to wear glasses
PCA-SVM
- 基于PCA和SVM的人脸识别程序，matlab， ORL库-face recognition code Based on PCA and SVM , matlab， ORL face library
face-detection
- HOG+SVM人脸识别演示程序 使用梯度直方图特征与SVM分类器-face detection demo program using HOG SVM
Face-recognition-based-on-SVM
- 利用支持向量机SVM进行人脸识别，采用Python语言编写。-Face recognition based on SVM, using the Python language.
PCA-SVM
- 本程序使用MATLAAB R2014a 编写，基于PCA_SVM的人脸识别程序。程序包括主成份分析、SVM核函数，并附带了人脸库，使之能够直接调用人脸库图像进行人脸识别-The program uses MATLAAB R2014a written procedure based on recognition of PCA_SVM. Program includes principal component analysis, SVM kernel function, and comes face
svm
- 利用matlab实现svm函数包的调用，在人脸数据库yale上进行人脸识别-using matlab to apply function svm to achive scan face on the data of yale
SVM
- 这是一个SVM分类器，可以实现对人脸的识别，里面有数据库。用的时候要先添加路径。-This is a SVM classifier, can be achieved on the face recognition, which has a . Use the time to add the path.
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)
svm
- 利用支持向量机进行人脸识别，需要自己下载SVM工具包(Support vector machine for face recognition, you need to download SVM Toolkit)
face_shibie
- 使用了两种方法实现人脸识别：hog+svm，KNN(Two methods are used to implement face recognition: hog+svm, KNN)
facepythonfile
- 两个关于人脸定位和人脸识别的python实现方法的简单代码。(Two simple code about the python implementation of face positioning and face recognition)
face-Adaboost
- 用Adaboost和PCA算法实现人脸识别，用Python写的代码，根据经典的PCA和SVM算法改编(Adaboost and PCA algorithm for face recognition, code written in Python, adapted from the classic PCA and SVM algorithm)
faceRecognization
- 本程序中，利用了LBP特征对人脸特征进行提取，并且利用SVM对提取的人脸特征进行训练和识别，其中，所用的图像处理库OpenCV2.4.9版本；通过对人脸库中的标准标本进行测试，算法识别率高达95%以上；(LBP features extract facial features, and use SVM to extract and recognize the facial features. The OpenCV2.4.9 version of the image processing libr
SVM_face_recognition
- 基于python的使用SVM的算法实现人脸的识别程序(Face recognition program based on Python based algorithm using SVM)
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
LVQ
- 运用LVQ进行人脸识别，得到的误差结果较好，同时又BP，SVM与其进行比较(The use of LVQ for face recognition is better, and the comparison between BP and SVM is compared.)
hog_svm_facedet
- 使用hog特征以及svm分类实现人脸检测，准确率高(face detection used hog+svm)
FaceRec
- 分别用基于PCA+SVM和PCA+Adaboost 两种算法进行对200张人脸图片进行识别。(200 face images are identified by two algorithms based on PCA+SVM and PCA+Adaboost.)