Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29301
Title: Face recognition using statistical models
Authors: Edwards, Gareth J. 
Lanitis, Andreas 
Taylor, Chris J. 
Cootes, Timothy 
Major Field of Science: Social Sciences
Field Category: Computer and Information Sciences;Arts;Design
Keywords: Face recognition;Statistical models;Image compression;Classification;Discriminant analysis;Isolation of variation;Face synthesis
Issue Date: 10-Mar-1997
Source: IEE Colloquium on Image Processing for Security Applications, 1997, London, UK
Conference: IEE Colloquium on Image Processing for Security Applications 
Abstract: We describe the use of flexible models for the representation of shape and grey-level appearance of human faces. The models are controlled by a small number of parameters, which can be used to code the overall appearance of a face for image compression and classification. Shape and grey-level appearance are included in a single model. Discriminant analysis allows the isolation of variation important for classification of identity. We have performed both face recognition and face synthesis experiments and present the results in this paper.
URI: https://hdl.handle.net/20.500.14279/29301
DOI: 10.1049/ic:19970378.
Type: Conference Papers
Affiliation : The University of Manchester 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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