Using mixture covariance matrices to improve face and facial expression recognitions
File(s) mixture-coveriance-matrices-AuthorCopy.pdf (62.89 KB)
Accepted version
Author(s)
Thomaz,C.E.
Gillies,D.F.
Feitosa,R.Q.
Type
Journal Article
Date Issued
2001
Citation
2001, 2091, pp.71-77
ISBN
9783540422167
3-5404-2216-1
ISSN
0167-8655
Publisher
Springer-Verlag
Start Page
71
End Page
77
Volume
2091
Copyright Statement
© 2003 Elsevier Science B.V. All rights reserved.
“NOTICE: this is the author’s version of a work that was accepted for publication in Pattern Recognition Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern Recognition Letters, VOL 24, (2003) DOI 10.1016/S0167-8655(03)00085-0
“NOTICE: this is the author’s version of a work that was accepted for publication in Pattern Recognition Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern Recognition Letters, VOL 24, (2003) DOI 10.1016/S0167-8655(03)00085-0
Source
3rd International Conference on Audio- and Video- Based Biometric Person Authentication, 6 - 8 June 2001, Halmstad, SWEDEN
Source Volume Number
24
Place of Publication
Berlin
