Robust coding schemes for indexing and retrieval from large face databases

Chengjun Liu; Harry Wechsler

doi:10.1109/83.817604

Robust coding schemes for indexing and retrieval from large face databases

Chengjun Liu, Harry Wechsler

Research output: Contribution to journal › Article › peer-review

227 Scopus citations

Abstract

This paper introduces two new coding schemes, the probabilistic reasoning models (PRM) and the enhanced FLD (Fisher linear discriminant) 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.

Original language	English (US)
Pages (from-to)	132-137
Number of pages	6
Journal	IEEE Transactions on Image Processing
Volume	9
Issue number	1
DOIs	https://doi.org/10.1109/83.817604
State	Published - Jan 2000
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Computer Graphics and Computer-Aided Design

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10.1109/83.817604

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abstract = "This paper introduces two new coding schemes, the probabilistic reasoning models (PRM) and the enhanced FLD (Fisher linear discriminant) 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.",

author = "Chengjun Liu and Harry Wechsler",

note = "Funding Information: Manuscript received October 9, 1998; revised July 27, 1999. This work was supported in part by the DoD Counterdrug Technology Development Program, with the U.S. Army Research Laboratory as Technical Agent, under Contract DAAL01-97-K-0118. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Thomas S. Huang. Copyright: Copyright 2007 Elsevier B.V., All rights reserved.",

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AB - This paper introduces two new coding schemes, the probabilistic reasoning models (PRM) and the enhanced FLD (Fisher linear discriminant) 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.

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Robust coding schemes for indexing and retrieval from large face databases

Abstract

All Science Journal Classification (ASJC) codes

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