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 |
CORE Recommender
SCOPUSTM
Citations
50
4
checked on Mar 14, 2024
Page view(s) 50
122
Last Week
3
3
Last month
10
10
checked on May 3, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License
