Graham, D. B. and Allinson, N. M. (1999) Norm2-based face recognition. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition 1999, 23-25 June 1999, Fort Collins, CO.
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Abstract
Increasingly the problems of recognising faces under a variety of viewing conditions, including depth rotations, is being considered in the field. The concept of norm-based coding an face recognition is not new but has been little investigated in machine models. Here we describe a norm-based face recognition system which is capable of generalising from a single training view to recognise novel views of target faces. The system is based upon the characteristic nature of faces as they move through a pose-varying eigenspace of facial images and deviations from the norm of a gallery of face images. We illustrate the use of the technique for a large range of pose variation.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Increasingly the problems of recognising faces under a variety of viewing conditions, including depth rotations, is being considered in the field. The concept of norm-based coding an face recognition is not new but has been little investigated in machine models. Here we describe a norm-based face recognition system which is capable of generalising from a single training view to recognise novel views of target faces. The system is based upon the characteristic nature of faces as they move through a pose-varying eigenspace of facial images and deviations from the norm of a gallery of face images. We illustrate the use of the technique for a large range of pose variation. |
| Keywords: | face recognition, image recognition, linear discriminant analysis, neural networks, target recognition, trajectory, vectors, statistical analysis, bmjexample |
| Subjects: | G Mathematical and Computer Sciences > G730 Neural Computing |
| Divisions: | College of Sciences > Faculty of Science > Lincoln School of Computer Science |
| Depositing User: | Tammie Farley |
| Date Deposited: | 23 Apr 2012 15:42 |
| Last Modified: | 13 Mar 2013 09:06 |
| URI: | http://eprints.lincoln.ac.uk/id/eprint/5092 |
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