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ORL-FACE
- Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p N). We called the new subspace defined by basis vectors “face space”. First, all training
PCA_Thesis_USM
- In order to fulfill the implementation of this project there are three main objectives that need to be achieved: 1. To learn and apply a technique for object recognition for single and multiface detection. 2. To examine the principal compon
principal_components
- 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 techn
2011_7_1_49_56
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
859398
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00913592
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00941854
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
01262011
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
baker_simon_1999_3
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
pxc3876788
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
Principal-component-analysis
- 主成分分析法实现图像压缩,主要是应用主成分分析来进行图像信息的压缩处理和重构。- Principal component analysis (pca) to realize image compression, is mainly used principal component analysis for image compression processing, and refactoring.
PCA_tutorial
- 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 techn
program-for-dt-cwt-transform
- i need the matlab coding for image fusion using different types of techniques . so, i need the particular coding your file. i need different types pf transform like IHS,PCA, DCT, and brovey transform.- i need the matlab coding for image fusion using
pca
- PCA主成分分析算法，是图像处理的一种数据降维算法-PCA principal component analysis algorithm, is a dimensionality reduction algorithm for image processing of data
Video-classification-
- 本文档包含了对视频分类的方法论文，先提取视频中音频信息和图像信息，然后进行拼接并使用PCA进行降维处理，最后使用高斯联合模型进行学习和分类-This document contains papers on the video classification method, first extract the video audio information and image information, and then stitching using PCA dimension reduction,
tuxiang
- 四种滤波（SVD滤波，PCA滤波，DCT滤波，DWT滤波）对图像处理，有程序代码和对应图片-Four kinds of filter for image processing
dajbm
- 利用matlab针对图像进行马氏距离计算 ,实现了图像的灰度化并进一步用于视频监视控，Gabor小波变换与PCA的人脸识别代码。- Using matlab to calculate the Mahalanobis distance for the image, Achieve a grayscale image and further control for video surveillance, Gabor wavelet transform and PCA face recognition