Referenced Items are not available for this document.
Texture-based automatic face recognition (AFR) methods find global similarities between two faces by computing their local regional similarities. A novel method based on Fisher discriminant analysis is proposed to estimate each region's contribution to the global similarity score. Experimental results show that the method considerably improves recognition performance for texture-based AFR.
Published in:
Computing in Science & Engineering
(Volume:13
,
Issue:
3
)
Date of Publication: May-June 2011
- Page(s):
- 31 - 37
- ISSN :
- 1521-9615
- INSPEC Accession Number:
- 11961330
- Digital Object Identifier :
- 10.1109/MCSE.2010.150
- Product Type:
- Journals & Magazines
- Date of Publication :
- 17 December 2010
- Date of Current Version :
- 25 April 2011
- Issue Date :
- May-June 2011
- Sponsored by :
- American Institute of Physics
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