This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common techniqu
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper uses the PCA algorithm to study the comparison and combination of infra
二维PCA人脸识别源码，针对ORL人脸库，识别率98％，matlab语言编程-Two-dimensional PCA face recognition source code for ORL face database, the recognition rate of 98, matlab language programming
用matlab实现的pca算法，用于将维，适用于各种试验，如人脸识别程序-Using matlab realize the PCA algorithm is used to dimension, applicable to a variety of tests, procedures such as face recognition
PCA带图像% Face recognition by Santiago Serrano %人脸识别代码 clear all close all clc % number of images on your training set. %训练集数目 M=10; %Chosen std and mean. %It can be any number that it is close to the std and mean of most of the images. um=100; ustd=8
