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Principal Component Analysis (PCA) is a widely used technology about dimensional reduction. Non-negative Matrix Factorization (NMF), proposed by Lee and Sung, is a new image analysis method. In this paper, PCA and NMF are used to extract facial expression feature, and the recognition results of two methods are compared. We also try to process basic image matrix and weight matrix of PCA and make them...
In this paper we present a novel image coding method, which adopts a nonlinear model based on hybrid fractal, we generalize 64 kinds of geometry transformations based on it. The process of selecting domain block and transforming modes is speeded up by defining eigenvalues. Based on the rapid matching strategy of range block's neighborhood, non-matching blocks are coded by truncation coding, and smooth...
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