搜索资源列表
adaboostPknnPlbp
- adaboost+knn+lbp 人脸识别代码 经典算法-adaboost+knn+lbp face recognition code classical algorithm
faceRecognitionBasedOnWavelet
- 基于小波变换和神经网络的人脸识别：本论文围绕人脸识别问题对人脸特征提取及识别技术进行了研究。主要有：对人脸识别的研究工作进行了综述；在KL算法的基础上提出了新的基于KL的特征提取方法，克服了KL算法计算量大，计算时间长的缺点，-Based on Wavelet Transform and Neural Network Face Recognition: In this paper, issues surrounding the face recognition feature extractio
homework
- 使用基于PCA+KNN算法实现的人脸识别，本算法的优点在于使用的是基于2DPCA的方法，计算时间更短，效率更高。-PCA+ KNN-based face recognition algorithm, the advantage of this algorithm is based on the use of 2DPCA method in calculating the time is even shorter, more efficient.
PatternRecognition
- 人脸识别 使用k-近邻法分类 区分不同的人 使用K-近邻法实现对指定人脸图片的识别。 训练集和测试集的划分 -Recognition of face in pattern recognition,By KNN space representation theorem
face
- 人脸识别程序，采用的是knn分类器，基于类内类间距离准则，特征提取。-Face recognition process, using the knn classifier, based on within-class inter-class distance criteria, feature extraction.
pca_knn
- 本方法采用pca进行特征提取，knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
FaceRec_Final
- 5-fold cross valication for Face recognition using PCA, SVM and KNN.
knn
- KNN分类程序，对人脸识别等图像处理有些许帮助和人脸数据图像-The KNN classification procedures, face recognition and image processing image of some help and face data
llde_cmb
- 人脸检测一直是人们在研究的问题，流形学习用于人脸检测中的特征提取，用PCA与constructM进行降维，KNN分类器用于分类。取得非常好的效果。-Face detection has been the problem of people in the study, manifold learning for face detection feature extraction using PCA and constructM dimension reduction, KNN classifier
pcaExpression
- openCV-C++代码，用PCA算法进行人脸主成分提取，并且用kNN算法进行实时表情识别。程序可以自己建立数据库并且进行识别，非常好用！附课程的作业报告。-openCV-C++ code, using PCA algorithm for face principal component extraction and real-time facial expression recognition algorithm with kNN. Program can create their own
2DPCAPKNN
- 实现2DPCA和Knn（k近邻）的人脸识别，包含人脸库-face recogntion in 2DPCA and KNN
fisher
- fisher准则的pca人脸识别程序example: 演示程序 creatData:生成数据 creatTrainLabelMat:生成数据标签 LDA:提取fisherface knnRecognition:knn分类器 knnsearch:knn搜索-Fisher criterion example: face recognition program PCA demonstration program CreatData: generat
FisherFace
- 基于LDA线性辨别分析的人脸识别算法，采用KNN分类器，可直接运行，自带数据库，识别率有88 。-LDA face recognition algorithm based on linear discriminant analysis, using KNN classifier, can be directly run, comes with a , the recognition rate of 88 .
fisher
- 基于LDA和KNN的人脸识别MATLAB程序-Face recognition KNN program based on LDA and MATLAB
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)
KNN人脸识别
- 使用KNN算法实现的人脸识别程序，KNN是机器学习里的K最近邻算法。(face recognition of KNN using python)
最近邻分类器LBP
- 局部二值模式LBP+KNN分类方法人脸识别源代码,，内涵数据库，可运行(Local two value pattern LBP+KNN classification method, face recognition source code, connotation database, can be run)