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A Statistical Multiresolution Approach for Face Recognition Using Structural Hidden Markov Models
This paper introduces a novel methodology that combines the multiresolution feature of the discrete wavelet transform (DWT) with the local interactions of the facial structures expressed through the structural hidden Markov model (SHMM). A range of wavelet filters such as Haar, biorthogonal 9/7, and...
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Main Authors: | , , , |
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Format: | Artigo |
Jezik: | Inglês |
Izdano: |
SpringerOpen
2007-12-01
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Serija: | EURASIP Journal on Advances in Signal Processing |
Online dostop: | http://dx.doi.org/10.1155/2008/675787 |
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