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[Graph program] 联机数字、英文字符及汉字识别

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3D model search engine
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嵌入式图像压缩编码的研究
基于径向小波变换的图像特征提取算法

Platform: | Size: 109456 | Author: bxf2008ynu@163.com | Hits:

[Special Effects] pca

Description: 主成分分析ppt。对做图像分析以及融合很有帮助。从别处转来的。希望有用。-Principal component analysis ppt. Right to do image analysis and fusion helpful. Have been transferred there. Want to be useful.
Platform: | Size: 109568 | Author: crystal | Hits:

[Other] shuiyin

Description: 首先介绍了图像特征向量维度过高的问题以及图像特征降维处理。在讨论Zernike矩基本概念以及图像Zernike矩形状特征向量表示的基础上,指出Zernike矩特征向量一般都是高维的。在介绍主成分分析方法的基础上,指出可以将其应用到Zernike矩特征向量的降维中,并给出了降维的处理过程。最后的实验结果证明了该方法的可行性。-Higher dimension of image feature is the critical p roblem and the dimension reduction is the most important phase in image p rocessing. Itwas pointed out that the dimension of Zernike moments feature vector was generally high after briefly introducing the basic concep t of the Zernike moments and the image Zernike moments shape feature vector. Based on the p rincipal components analysis, itwas shown that the p rincipal components analysis (PCA) could be app lied in dimension reduction of image Zernike moments feature. Meanwhile, the p rocess of the dimension reduction based on PCA was put forward. The experimental results demonstrate the feasibility of the app lication.
Platform: | Size: 397312 | Author: ll | Hits:

[Graph Recognize] PCA

Description: 在图像处理特别是人脸识别中经常用到PCA算法，这是基于Opencv的PCA算法。-In the image processing in particular are often used in PCA face recognition algorithm, which is based on the Opencv the PCA algorithm.
Platform: | Size: 1024 | Author: liwei | Hits:

[File Format] ORL-FACE

Description: 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 faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.
Platform: | Size: 7017472 | Author: sam | Hits:

[matlab] fisherface

Description: 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 faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.
Platform: | Size: 11264 | Author: sam | Hits:

[matlab] mcmc

Description: 这是一个基本的PCA方法实现人脸图像压缩与重建，可以非常快捷的将一些无法辨别的人脸图像进行快速的拼接。-This is a basic PCA method to achieve image compression and reconstruction of the face, can be very quick to identify the human face that can not be quickly spliced images.
Platform: | Size: 3421184 | Author: lee | Hits:

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