搜索资源列表
face_recognition
- 实现基于类内类间距离准则的特征提取方法，并用KNN方法进行分类器设计。-Distance criterion class within a class based feature extraction method, KNN method classifier design.
bayes-
- 最近邻分类器（KNN）的C＋＋源码，适合模式识别、图像处理开发者用-nearest neighbor classifier (KNN) of the C++ source code, suitable for pattern recognition, image processing developers use
knn
- 一个小小的knn-demo，先用knn 做分类器进行分类，再去验证正确率-A small knn-demo, first with knn Do classifier, go to verify that the correct rate
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 .
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)