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Image Processing - Singular Value Decomposition - [Computer Graphics (计算机图形学)]
2008-11-18 | Tag:计算机 图形学 算法
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http://anthonychan.blogbus.com/logs/31512974.html
For a matrix M containing the information we need, we can always rewrite M as
M = XM`XT
Where X is the eigenvector of M and M` is a diagonal matrix whose elements are the eigenvalues of M. To decrease the dimension of M, we can select part of M` to form a smaller matrix M`` where only some significant eigenvalues remain.
*A similar application of SVD is its version in text analysis where it is renamed as Latent Semantic Indexing.
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