搜索资源列表
kpca_toy
- 基于KPCA的人脸识别 程序功能:先对人脸图像训练样本进行训练,然后给出人脸图像的测试样本能进行人脸识别。-Based on KPCA face recognition The program features: the training sample of face images for training, then given the test samples of face images for face recognition.
Face-Detection
- 此为用MATLAB语言写的基于KPCA、PCA算法的人脸检测程序,对于对比学习KPCA和PCA有很大帮助-This is the face detection program which is written by matlab , and it will help you a lot to learn the difference between KPCA and PCA
NLPPPLPP
- 其中包括了kpca+LPP,以及kpca+nlpp的人脸识别算法,基于AR人脸数据库,可直接运行,还可以修改LPP的参数已达到最佳效果-The File contains kpca+lpp and kpca+nlpp based on AR face database
PCA-and-LDA
- 人脸识别经典资料,主要包含PCA,LDA,KPCA等方法-Face classic data consists mainly of PCA, LDA, KPCA methods
dimen_toolbox
- 最新最强MATLAB降维工具箱,可用于人脸识别,模式识别,机器学习,数据挖掘,图像处理等领域,里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian,LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
PatternRecognition
- (1)Bayes分类 已知N=9, =3,n=2,C=3,问x= 应属于哪一类? (2)聚类 使用c-均值聚类算法在IRIS数据上进行聚类分析 (3)鉴别分析 在ORL或Yale标准人脸数据库上完成模式识别任务。 用PCA与基于核的PCA(KPCA)方法完成人脸图像的重构与识别试验。-(1) Bayes classification Known N = 9, = 3, n = 2, C = 3, x = should ask which cat
LGEandKGEandOLGEandKPCAandKLPP
- 一系列降维算法,包括LGE,KGE,KLPP,OLEG,KPCA,将高维空间的数据降低的低维,主要用来进行人脸识别以等方面的特征提取,总共5个算法。-isometric projection to feature extraction
KPCAface_rec
- KPCA算法人脸识别,识别率可达到90 以上,附带人脸库-KPCA algorithm recognition, recognition rate can reach more than 90 percent, with face
Face_recognize
- matlab代码实现人脸检测识别,提取人脸图像的kpca特征利用图像匹配快速识别人脸。-matlab face recognition kpca svm
PhD
- 非常有用的人脸识别工具包,包含了各种PCA,LDA, KPCA, KFA及其变种。在Matlab环境下可以直接运行。-The PhD (Pretty helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scr ipts intended to help researchers working in the field of face recognit
LBPpPCAp2CKPCAp2BSVM
- 人脸识别系统采用了LBP PCA 2CKPCA 2BSVM算法实现的,效率高。-Face Recognition System using LBP PCA 2B KPCA 2B SVM algorithm, and high efficiency.