Localized versus Locality-Preserving Subspace Projections for Face Recognition
<p/> <p>Three different localized representation methods and a manifold learning approach to face recognition are compared in terms of recognition accuracy. The techniques under investigation are (a) local nonnegative matrix factorization (LNMF); (b) independent component analysis (ICA);...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2007-01-01
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| Series: | EURASIP Journal on Image and Video Processing |
| Online Access: | http://jivp.eurasipjournals.com/content/2007/017173 |