Description: 两个文件，分别实现了基于2DPCA的人脸识别及重建算法-two papers, based on the realization 2DPCA and reconstruction of the face recognition algorithm Platform: |
Size: 2048 |
Author:龚勋 |
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Description: 基于ORL人脸库 PCA人脸识别的人脸重建-Based on the ORL face database PCA Face Recognition Face reconstruction Platform: |
Size: 3072 |
Author:wanggong |
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Description: 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and recognition test. Platform: |
Size: 1024 |
Author:李海 |
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Description: 提出一种基于主成分分析(PCA)分解的图像融合框架。对源图像进行主成分分析,依据前几个主成分重建图像,经过下采样过程得到近似图像,对近似图像进行上采样,得到上层图像的差异图像(即细节图像),将最底层近似图像与各层细节图像进行累加完成图像的重构-The proposed fusion framework based on principal component analysis (PCA) decomposition. Principal component analysis of the source image, the reconstructed image based on the first few principal components, after down-sampling process to obtain an approximate image sampling, approximate image on the upper image difference image (image details), the lowest level of approximation of the image and layers of the details of image accumulation to complete the image reconstruction Platform: |
Size: 2048 |
Author:wangdeshuai |
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Description: Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models. Platform: |
Size: 403456 |
Author:Shinva |
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Description: Fisherface方法的实现是在PCA数据重构的基础上完成的，首先利用PCA将高维数据投影到低维特征脸子空间，然后再在这个低维特征脸子空间上用LDA特征提取方法得到Fisherface。程序中使用参数寻优的方法来寻找最佳投影维数，以达到比较理想的识别效果。-The Fisherface method implemented in the PCA data reconstruction based on the completion of the first use of PCA projection of high-dimensional data to a low dimensional feature subspace, and then on the characteristics of low-dimensional subspace LDA feature extraction methods to get the Fisherface. Program parameter optimization method is used to find the best projection dimension, in order to achieve the ideal identification. Platform: |
Size: 3525632 |
Author: |
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Description: 基于ORL人脸库 PCA人脸识别的人脸重建-Based on the ORL face database PCA Face Recognition Face reconstruction Platform: |
Size: 3072 |
Author:movePr |
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Description: 基于主元分析（PCA）的迷幻连超分辨率重建 通过利用PCA及图像数据库将低分辨率的人脸进行重建-Based on principal component analysis (PCA) psychedelic even super-resolution image reconstruction through the use of PCA and low-resolution face database will be rebuilt Platform: |
Size: 1024 |
Author:呵呵 |
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Description: (1)Bayes分类
已知N=9， =3，n=2，C=3,问x= 应属于哪一类？
(2)聚类
使用c－均值聚类算法在IRIS数据上进行聚类分析
(3)鉴别分析
在ORL或Yale标准人脸数据库上完成模式识别任务。
用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验。-(1) Bayes classification
Known N = 9, = 3, n = 2, C = 3, x = should ask which category?
(2) Cluster
C-means clustering algorithm using cluster analysis on IRIS data
(3) discriminant analysis
Pattern recognition tasks completed on ORL face database standard or Yale.
With PCA and nuclear-based PCA (KPCA) method to complete the reconstruction of the face image recognition test. Platform: |
Size: 7168 |
Author:刘宏 |
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Description: Wavelet based Image Reconstruction Gradient Data
Fast morphological reconstruction of large logical masks.
Kernel PCA and Pre-Image Reconstruction
Reconstruction of image projections by Algebraic Reconstruction Technique
Image Reconstruction Demo (GUI)
IMAGE COMPRESSION & RECONSTRUCTION OF IMAGES
Image reconstruction
-Wavelet based Image Reconstruction Gradient Data
Fast morphological reconstruction of large logical masks.
Kernel PCA and Pre-Image Reconstruction
Reconstruction of image projections by Algebraic Reconstruction Technique
Image Reconstruction Demo (GUI)
IMAGE COMPRESSION & RECONSTRUCTION OF IMAGES
Image reconstruction
Platform: |
Size: 663552 |
Author:amin |
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Description: 人脸识别技术作为生物体特征识别技术的重要组成部分，在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法（PCA）在人脸识别中的应用，在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真，并对样本图像进行了重构。本实验在ORL人脸库的基础上，选用每人前5张图片，共计40人200幅样本图像，通过快速PCA算法将10304维的样本特征向量降至20维，并实现了基于主分量的人脸重建，验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Facial recognition technology as a biological feature recognition technology is an important part of, in recent years has become a hot research topic in the field of computer vision and pattern recognition.This experiment is based on K- L transform principal component analysis (PCA) in the application of face recognition, based on ORL face validation of rapid PCA algorithm was realized by Matlab simulation, and reconstructed the sample image., on the basis of the experiment on ORL face , choose top 5 pictures each, a total of 40 people 200 sample image, through rapid PCA algorithm the sample feature vector of 10304 d down to 20 d, and implements the face reconstruction based on principal component, PCA algorithm is verified in the high-dimensional data processing and feature extraction is effective to dimension reduction. Platform: |
Size: 20067328 |
Author:季科 |
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Search - pca based reconstruction