图像矩阵

基于二维图像矩阵的ICA人脸识别

Independent component analysis for face recognition based on two dimension image matrix

Hong阐明了图像矩阵奇异值具有很多优良特性，也得出了图像矩阵奇异值具有旋转不变性这一结论。

Hong ' article gives many excellent characteristics of the singular values extracted from an image matrix , and reaches the conclusion that the singular values are invariant to rotation .

提出以道路图像矩阵的局部奇异值向量作为特征输入，以BP神经网络作为分类器的道路导航方法。

This paper presents a method for road navigation , which takes local singular value vectors of image matrix as the feature input and a BP neural network as the classifier .

该文给出了一种利用图像矩阵直接计算的二维PCA，以类间散布矩阵的本征向量作为投影方向，取得了比利用总体散布矩阵更好的识别效果，并且特征抽取速度更快。

This paper gives a 2D-PCA , which uses original image matrices to compute between-class covariance matrix and its eigenvectors are derived for images feature extraction .

首先，探讨一类特殊的图像矩阵变换&JohnConway提出的生命游戏；

Firstly , the authors introduce a kind of special image matrix transform & John Conway 's Game ;

分析了奇异值分解的图像矩阵特性，基于混沌变换加密，实现SVD变换域内的有意义数字水印。

A new algorithm of meaningful digital watermarking in SVD domain based on chaotic transform encryption is proposed based on the SVD characteristic analysis of image matrix .

研究了一种线性降维算法：近邻保持嵌入（NPE），在二维图像矩阵上的扩展及其图像识别应用。

Fourthly , we investigate a linear dimensionality reduction method-neighbourhood preserving embedding ( NPE ) and its extension on two dimensional image .

我们还揭示了NPE和LPP在图像矩阵上扩展算法的关系：其实也是对流形上Laplacebeltrami算子特征函数不同的线性逼近。

We also reveal the relationship between the extension algorithms of LPP and NPE on image matrices : they also provide two different ways to linearly approximate the eigenfunctions of the Laplace Beltrami operator on manifold .

鉴于图像矩阵奇异值对于图像特征强大的描述能力，该文对传统的奇异值分解（SVD）方法进行改进，提出了充分保证图像本质信息的奇异值分解阈值压缩降维方法。

Owing to the strong feature describing ability of image 's singular value , the tradition method of singular value decomposition ( SVD ) is improved , and a feature extraction theory with SVD threshold compression which can retain image 's essential information is proposed in this dissertation .

考虑样本为图像矩阵的图像鉴别分析问题，将Foley-Sammon鉴别分析问题转化为一类带约束条件的两目标优化问题，给出了有效投影向量的概念。

The paper concerns the image discriminant analysis problem where image matrices are taken as samples . Foley-Sammon discriminant analysis is transformed into a class of bi-objective constrained optimization problem , and the efficient projection vector is defined .

基于图像矩阵的非线性不相关鉴别特征抽取技术

Nonlinear and Uncorrelated Discriminant Feature Extraction Technique Based on Image Matrix

该方法直接进行图像矩阵投影，避免高维运算。

The image matrix was directly projected to avoid high dimension operation .

图像矩阵奇异值旋转不变性的重建

Restructuring the Rotation Invariance of Singular Values for Image Recognition

近来一些研究人员提出了利用图像矩阵直接构造散布矩阵，并在此基础上进行特征抽取的方法。

Recently some researchers propose new methods which are based on image matrix .

先证明没有改变原有图像矩阵的相似度。

First we prove that the similarity of original image matrices is kept .

基于图像矩阵的广义主分量分析

A Generalized Principal Component Analysis Based on Image Matrix

由于直接在图像矩阵上进行操作，该方法具有很高的计算效率。

Due to directly operating on image matrix , this method has high computational efficiency .

直接使用原始图像矩阵来构建图像协方差矩阵，它的特征向量用来作特征提取。

Instead , an image covariance matrix can be constructed directly using the original image matrices .

将模糊性和判别性引入监督型局部保留映射算法，并扩展到基于二维图像矩阵。

Fuzzy assignment and discriminant information are introduced to supervised locality preserving projections , and it bases on two-dimensional iamge matrix .

我们的算法直接处理图像矩阵，而不是处理展开的图像向量。

This algorithm directly projects the image matrix under a specific projection criterion , rather than using the stretched image vector .

然后用其中一个混沌序列对图像矩阵进行置乱，另一个混沌序列用于对图像信息进行异或加密。

Then one of the sequences is used to disturb the image matrix , while the other sequence to encrypt the image .

然后再以一个子矩阵在进行梯度处理后的图像矩阵中移动量化这些复杂度值，再选取经过量化后的复杂度的值比较大的若干块，这些子块之间有的有区域重叠。

Then we choose the relatively large value blocks of the post-quantitative block , it has some regional overlap among these sub-blocks .

该方法先将图像矩阵进行重组，根据重组的图像矩阵构造出总体散布矩阵，然后求出最佳投影向量进行特征提取。

Then , an image scatter matrix is constructed using the reshaped image matrixes and its eigenvectors are derived for image feature extraction .

视频监控采用电视墙进行图像矩阵切换，采用硬盘录像。

The video shakeout system uses a television wall to switch the video matrix , and uses a hard disk to record the image .

该方法基于一个迭代算法求取投影矩阵，图像矩阵的高维性导致算法需要较多的迭代次数才能收敛，效率较低。

R1-PCA calculates projection matrix by an iterative method . More iteration numbers are needed for the convergence caused by the high dimensional image vector .

结论：扫描野小、过角度扫描、图像矩阵大的参数组合，其扫描可提高图像质量。

Conclusion : Scanning with the combination of small field of view , orer scan angle and large imaging matrix can improve the quality of images .

本文针对图像矩阵固有的奇异值特性研究了此特性在图像目标识别中的应用，给出了一种具体算法。此外，还对图像中飞机类型的识别进行了实验应用分析。

The application of singular value of image in targets recognition is analyzed , according to it 's inherent attribute of matrix , and an object recognition algorithm is proposed .

而传统的线性判别分析方法需要将二维图像矩阵展开成一维向量，然后再进行线性判别分析，这样带来了代价较高的矩阵运算。

Whereas traditional linear discriminant analysis needs to change two dimensional image matrix into one dimensional vector , and then performs linear discriminant analysis , which results in costly matrix computation .

该方法首先利用奇异值分解方法，求出模板图像矩阵的奇异值及奇异值向量，用它们作为模板图像的特征代替传统算法中的灰度对两幅待匹配图像进行全局搜索定位。

Firstly , object image is decomposed , its SVD value and SVD eigenvector are obtained , and then they are applied as characters of the object image in matching process .

假如把图像矩阵行、列值都插值成函数，则是一个有很多间断的函数，压缩恢复也可看成是点值保留和重构的过程。

If the row and column values of image matrix are interpolated into the equation , it is a discontinuous equation . The recovery can also be seen as a point value retention and reconstruction process .