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
fDate :
1/1/2000 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
