搜索资源列表
BPre
- BP 图像识别算法,基于pca的方法,外国人写的-BP image recognition algorithm, pca-based approach, written by foreigners
FaceRec_part1
- 本人收集的人脸识别最新资料,从08年到09年,包含各种人脸识别的优秀算法,PCA,HMM,2DPCA,KDDA,一共20个文件,需要安装CAJ阅读器阅读,是不可多的学习和研究的参考资料(不是源码,算法详细)-I gather the latest information for face recognition, from 2008 to 2009, contains an excellent variety of face recognition algorithms, PCA, HMM, 2
ImageFusionTools
- 用于图像融和的窗口化工具,包含了几乎所有的常用融和算法:pca, Ihs, 金子塔,小波变换,多孔小波变换,brovey融合等。-The window for image integration tools, including almost all of the commonly used integration algorithm: pca, Ihs, pyramid, wavelet transform, multi-Kong Xiaobo transformation, brovey i
pca
- 人脸识别中很重要的PCA算法,可作为初学者的参考算法,很有用-A very important PCA face recognition algorithm, can be used as a reference algorithm for beginners and useful
empcae
- finds the first k principal components of a dataset and their associated eigenvales using the EM-PCA algorithm -finds the first k principal components of a dataset and their associated eigenvales using the EM-PCA algorithm
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
renlianshibie
- 利用PCA对人脸图像进行降维,然后训练神经网络分类器的Matlab程序-the Matlab in face recoginization using PCA algorithm
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码,文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
PCA
- 基于PCA人脸识别算法的研究,用matlab实现。-PCA-based face recognition algorithm using matlab to achieve.
PCA_cov
- 用神经网络中的PCA算法对人脸图像进行压缩及恢复-PCA with a neural network algorithm for image compression on the face and back
matlab
- ) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。-) The use of sub-blocks of principal component analys
GaborPCA
- 程序实现了基于Gabor特征和PCA的人脸识别算法,具有较好的识别效果。-Program for Gabor features and PCA-based face recognition algorithm has better recognition effect.
PCA_LDA_Face_Verification
- PCA+LDA人脸识别,识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
Infrared-Face-Recognition
- 这篇文章是我实验室写的基于2DPCA的红外人脸识别方法,这里面系统的阐述了使用2DPCA算法比传统PCA算法的好处,本文还阐述了红外图像在人类识别方面独特的优点及存在的不足。-This article is written in my laboratory face recognition method based on infrared 2DPCA, there is a systematic exposition of the use of algorithms than the tradi
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
cdaaima-pca
- 实现pca主成分分析算法的c语言代码,希望能帮到大家。-Pca principal component analysis algorithm to achieve the c language code, hope to help you.
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
PCAbased-Laplacian-pyramid
- 本文阐述了基于主元分析的拉普拉斯金字塔图像融合的原理和方法:首先对原图像分别进行拉普拉斯 金字塔分解,然后分别对高频部分采用主元分析(PCA)法融合,对低频部分采用平均梯度法进行融合,最后对 拉普拉斯金字塔做反变换得到最终的融合图像。通过对可见光与红外图像的融合,以及对不同焦距图像融合 的结果分析,该算法比单纯的PCA和拉普拉斯图像融合能得到具有更多有用信息的高对比度的融合图像-In this paper, principal component analysis based on
pca
- 实现pca变换,图像处理,算法,程序部分,主成分分析-Achieve pca transform, image processing, algorithm, program section, principal component analysis
face-opencv-cPP
- 基于opencv 人脸识别 pca 算法 c++的实现 -Pca-based face recognition algorithm opencv c++ implementation