Robust coding schemes for indexing and retrieval from large face databases

被引：186

作者：

Liu, CJ ^{[1
]}

Wechsler, H ^{[1
]}

机构：

[1] George Mason Univ, Dept Comp Sci, Fairfax, VA 22030 USA

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2000年 / 9卷 / 01期

关键词：

enhanced FLD models (EFM); face recognition; Fisher linear discrimimant (FLD); indexing and retrieval; probabilistic reasoning models (PRM);

D O I：

10.1109/83.817604

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces two new coding schemes, the probabilistic reasoning models (PRM) and the enhanced FLD (Fisher linear discrimimant) models (EFM), for indexing and retrieval from 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.

引用

页码：132 / 137

页数：6

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