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PCA
- 提出了一种二维类增广PCA（2DCAPCA）的人脸识别算法。用二维PCA（2DPCA）方法直接对人脸图像矩阵进行特征提取，对提取的特征进行归一化处理，将归一化处理后的特征与类别信息结合构成类增广矩阵，对类增广矩阵进行2DPCA处理，提 取图像的类增广矩阵特征-This paper proposes a face recognition approach of two-dimension class-augmented PCA.
PCA
- pca人脸识别 基于代数统计的方法是使用统计学观点提取基向量，之后将人脸向量投影到基向量上，得到的投影值即为不同的人脸图像特征，这种方法利于操作，比较灵活。本次设计采用PCA方法对人脸进行降维，提取特征。 -pca face recognition based on the statistical method Generation is extracted base vectors using a statistical point of view, and then the vector
pca
- pca算法已经广泛应用于各方面，当提取的图像特征维度比较高时，为了简化计算量以及储存空间，需要对这些高维数据进行一定程度上的降维，并尽量保证数据的不失真。-pca algorithm has been widely used in various areas, when the extracted image feature dimension is relatively high, in order to simplify the calculation and storage space n
PCA
- 图像处理中经典的PCA算法，几乎每一步的降维之前都要用到 实用性很强-PCA classical image processing algorithms, almost every step of dimension reduction should be used in very practical before
pca
- 这是主成分分析的源代码，用于图像分割及相关领域。已经测试过可以使用。-This is the source code, principal components analysis is used for image segmentation and related fields. Has been testing can be used.
pca
- 可用于高光谱图像处理的自己编的PCA函数,Matlab版的.主要作用是降维.-the pca function is used to hyperspectral image processing.
pca
- 经典主成分分析法，实现高光谱图像的降维处理 -Classical principal component analysis, to achieve high spectral image dimensionality reduction
PCA-(ICA)
- pca_ica 源程序，适合数字图像处理与应用，具有简洁快速功能-pca_ica source for digital image processing and application, with simple and rapid functional
PCA-renlianshibie
- 采用PCA提取人脸特征,先计算M个图像的平均值脸，再求出各特征值脸。-Using PCA for face feature extraction, first calculate the average face image of M, and then find the face value of each characteristic.
pca
- 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
PCA
- 实现图像的降维处理,可以缩短大量的计算时间。-Dimensionality reduction of image processing, a lot of computation time can be shortened.
pca
- PCA是主成分分析，例子中有一个三维点阵图像，最后结果为二维图像。-PCA is the principal component analysis, a three-dimensional lattice image example, the final results for the two-dimensional image.
pca
- 用PCA算法在matlab平台上对图像进行压缩与解压缩，内含测试图像，能直接在matlab上运行使用，对学习PCA算法有帮助。-PCA algorithm used in matlab platform for image compression and decompression, containing the test images, can be run directly on matlab, PCA algorithm is helpful for learning.
pca
- 目前，pca算法已经广泛应用于各方面，就拿图像处理，经常做的一件事就是当提取的图像特征维度比较高时，为了简化计算量以及储存空间，需要对这些高维数据进行一定程度上的降维，并尽量保证数据的不失真。-Currently, pca algorithm has been widely used in various aspects, Take image processing, often do one thing when the dimensions of the image feature extr
pca
- 函数pca的作用是通过PCA即主成分分析的方法降维，用于图像处理-image processing by PCA
pca
- 用vc++实现PCA影像融合。结果图像兼备高空间分辨率和高光谱信息。-PCA with vc++ achieve image fusion. The resulting image both high spatial resolution and high spectral information.
PCA
- 主成分分析法在数字图像上的运用与实现，主成分分析方法的重要性-The importance of the use of principal component analysis and implementation of the digital image, the principal component analysis method
K-means-PCA-Image-segment
- 基于K-means、图像多维组合、PCA三种方式的遥感图像分割。将几幅多波段遥感图像区分出区民区、水域和其它。-Remote sensing image segmentation K-means, multidimensional image combination, PCA based on three ways. The pieces of Multispectral Remote Sensing Image distinguish Kumin, watershed and other.
LPG-and-PCA-combination-
- 结合LPG&PCA的中智学图像分割。好文章供你参考。- LPG&PCA combination of the Anthroposophical image segmentation. Good article for your reference.
PCA-KPCA
- 主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as