DocumentCode
1291584
Title
Robust coding schemes for indexing and retrieval from large face databases
Author
Chengjun Liu ; Wechsler, Harry
Author_Institution
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA
Volume
9
Issue
1
fYear
2000
fDate
1/1/2000 12:00:00 AM
Firstpage
132
Lastpage
137
Abstract
This paper introduces two new coding schemes, probabilistic reasoning models (PRM) and enhanced FLD (Fisher linear discriminant) models (EFM), for indexing and retrieval of large image databases with applications to face recognition. The unifying theme of the new schemes is that of lowering the space dimension (“data compression”) subject to increased fitness for the discrimination index
Keywords
database indexing; face recognition; image coding; image retrieval; inference mechanisms; very large databases; visual databases; discrimination index; enhanced Fisher linear discriminant models; face recognition; indexing; large face databases; probabilistic reasoning models; retrieval; robust coding schemes; space dimension; Application software; Computer science; Face recognition; Image coding; Image databases; Image retrieval; Indexing; Information retrieval; Principal component analysis; Robustness;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.817604
Filename
817604
Link To Document