搜索资源列表
PCA-code
- 基于主成分分析方法的人脸重构，使用ORL人脸数据库-the face reconstruction based on PCA method
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.
PCA
- PCA 主成分分析在人脸识别中的应用 基于主成分分析理论对不同人脸库进行学习 总结“经验”并将“经验”用于对人脸的识别中-PCA Principal Component Analysis for Face Recognition Based on principal component analysis theory of different learning face database summary of " experience" and " experience
PCA
- 这是基于主成分分析的人脸识别，非常具有借鉴价值-This is based on principal component analysis for face recognition have great reference value
PCA-LBP-face
- VC编写的基于PCA和LBP的人脸识别程序-VC prepared by the PCA and the LBP-based face recognition program
pcalda
- 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
pcafacerecog
- matlab基于PCA实现的人脸识别程序，识别效率可达到90 -PCA-based face recognition matlab implementation process, the recognition rate can reach 90
PCA_based-Face-Recognition-System
- 基于主成分分析的人脸识别系统，matlab编程附人脸图像-pca based face recognition system
Face-recognition--on-a-DSP
- 本文介绍了 DSP6711的硬件特性 分析了人脸检测、 识别的原理及算法的选型 运用基于 DCT变换域的 LDA的特征提取方法 ,实现了人脸的自动识别。在 Yale人脸库上的实验结果表明本算法识别率要比直接用 PCA进行特征提取的方 法要好-This article describes the DSP6711 hardware features analysis of face detection, recognition of the principle and algorithm se
ok
- 基于Pca的人脸自动识别源码 采用orl人脸库 最后出现识别数目-Automatically identify the source of Pca-based face orl face database last identification number
PCA-based-matlab
- 基于PCA算法的人脸识别，使用ORL人脸数据库做实验，识别率为88 -PCA algorithm-based face recognition using ORL face database experiment, the recognition rate of 88
Face-Recognition-based-on-PCA
- 该程序设计了一个基于PCA算法的人脸设别系统，通常称为“特征脸方法”。程序中所用的函数都简单易懂，并且都有解释说明，希望对大家有所帮助，还附带了实验图片。-This package implements a well-known PCA-based face recognition method, which is called Eigenface . All functions are easy to use, as they are heavy commented. Fu
PCA_based-Face-Recognition-System
- PCA算法实现，基于PCA的人脸识别程序，可以降维预处理图像-PCA algorithm, the PCA-based face recognition program, dimensionality reduction pretreatment images
PCA
- 用MATLAB写的基于PCA的人脸识别算法，附带ORL人脸库，可直接查看算法效果-The ORL database written using MATLAB PCA-based face recognition algorithm, incidental, the algorithm can directly view the effect of
Face-Recognition-System
- 基于PCA算法的人脸识别系统在matlab上的实现-PCA algorithm-based face recognition system
PCA-based-face-recognition
- 研究内容包括四个方面：分别是人脸检测，图像的预处理，特征提取和人脸识别。能在不同光照，不同表情，不同姿态的情况下获得准确的识别。-The study includes four aspects: face detection, image preprocessing, feature extraction and face recognition. The accurate identification can be obtained in the case of different light
PCA
- 基于PCA的人脸识别，识别率的输出，人脸特征的提取。-PCA-based face recognition, the recognition rate of output, face feature extraction.
pca0.9
- 基于PCA的人脸识别程序，用ORL数据库，更改一下路径，识别率有0.8-PCA-based face recognition program, with the ORL database, change my path, the recognition rate of 0.8
PCA
- 基于PCA的人脸识别matlab程序，含orl人脸库。-PCA-based face recognition matlab program, including orl face database.
FaceRecognitionPCA
- 基于PCA的人脸识别程序，特征提取采用PCA方法，分类采用近邻法进行分类，先要下载人脸数据库做实验-PCA-based face recognition program, using PCA feature extraction method, classification using nearest-neighbor classification, first download the face database to experiment