Robust coding schemes for indexing and retrieval from large face databases
Authors:
- Chengjun LiuCLChengjun Liu
- H. WechslerHWH. Wechsler
- 1 January 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 9 (1) , 132-137
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
This publication has 13 references indexed in Scilit:
- The FERET database and evaluation procedure for face-recognition algorithmsImage and Vision Computing, 1998
- Matching pursuit filters applied to face identificationIEEE Transactions on Image Processing, 1998
- Discriminant analysis for recognition of human face imagesJournal of the Optical Society of America A, 1997
- Probabilistic visual learning for object representationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Local feature analysis: a general statistical theory for object representationNetwork: Computation in Neural Systems, 1996
- Using discriminant eigenfeatures for image retrievalIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditionsNeural Networks, 1992
- Automatic recognition and analysis of human faces and facial expressions: a surveyPattern Recognition, 1992
- Eigenfaces for RecognitionJournal of Cognitive Neuroscience, 1991
- Application of the Karhunen-Loeve procedure for the characterization of human facesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1990