搜索资源列表
CalcLDA
- PCA---主成分分析 LDA---线性区别分析此类实现结合两者的有缺点实现图像模式识别,其中需要有矩阵类-PCA principal component analysis --- --- LDA linear discriminant analysis combining the two to achieve such a flawed it Image is pattern recognition, which requires matrices
neatestface
- 人脸识别matlab程序，pca主成分分析法，采用最小距离决策-Face recognition matlab program, pca principal component analysis method, using a minimum distance between the decision-making
ORL_faces
- 人脸识别：使用PCA方法，即主成分分析，区分人脸和非人脸。主要用于随即过程大作业。-Face Recognition: Using the PCA method, that is, principal component analysis, the distinction between face and non-human face. Then the process used mainly for large operations.
pca_face_recognition
- 基于pca主成分分析实现人脸识别功能，是人脸识别中比较经典的算法之一，取得很好的效果-Pca principal component analysis based on the realization of face recognition function, is face recognition algorithm to compare the classical one, and achieved good results
ImprovedPCAFaceRecognitionAlgorithm
- 摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influen
PCA
- 基于主成分分析的人脸识别，本程序给出了N次重复实验后各维数的识别率-Principal Component Analysis(PCA)for face recognition
PCA-and-for-the-face-recognition-
- 主成分分析，及其用于人脸识别的算法实现。-Principal component analysis, and for the face recognition algorithm.
face-recognition
- pca又称主成分分析，主要用来提取图像的主要成分，作为特征提取一个重要算法，将其用于人脸识别-pca, also known as principal component analysis, mainly used to extract the main component of the image, as a key feature extraction algorithm, be used in face recognition
pca
- 用主成分分析法，即PCA算法实现人脸识别-With principal component analysis, face recognition algorithm that PCA
PCA-face-recognition
- PCA人脸识别程序。运用主成分分析法对人脸进行识别是一种主要的方法。-PCA face recognition program. The use of principal component analysis of the human face recognition is a major way.
pca-face-recog
- 使用经典方法主成分分析方法进行人脸识别，识别效果好-failed to translate
Face-recognition-based-PCA
- 基于主成分分析的人脸识别系统，用matlab写的-Written based on principal component analysis of face recognition system using matlab
Face-recognition-using-pca
- 使用主成分分析进行人脸图像的识别，并计算识别率-Using principal component analysis for face image recognition, and calculate the recognition rate
pca
- 主成分分析算法程序 选取前多少个主成分代表主要特征-Principal component analysis algorithm select the top number represents the main features of the main components
PCA
- 图像处理与识别实现分类算法功能的函数PCA（主成分分析）方法-PCA (principal component analysis) function of image processing and recognition to achieve classification algorithm
pca
- 主成分分析法 实现图像数据的降维 matlab代码编写-PRINCIPAL COMPONENT ANALYSIS OF IMAGE DATA
ORLPPCAPSVM
- ORL标准人脸库，40个人每人10张不同角度不同表情照片。 通过PCA主成分分析提取特征，再用SVM进行分类，达到较好的人脸识别。-Base on the standard facial library ORL,which contend 40 persons ,10 photos per one in different ankle and different emotion. The program use PCA and SVM method to recognize face.
基于PCA和三阶近邻的人脸识别
- 这是一个基于的主成分分析和三阶近邻分类器的人脸识别算法，算法用MATLAB编写，简单实用，保证能够运行出来，特别适合初学者使用学习。
人脸识别
- 利用PCA主成分分析法对人脸进行降维处理，之后进行识别(face recognition using pca)
41972254PCA_ORL
- 代码是关于主成分分析的人脸识别，使用orl人脸图像集(The code is about principal component analysis of face recognition using ORL face image set)