Norm2-based face recognition

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.

Documents
Norm2-based face recognition
[img]
[Download]
Request a copy
[img] PDF
00786998.pdf - Whole Document
Restricted to Repository staff only

664Kb

Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

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 Science > School of Computer Science
ID Code:5092
Deposited By: Tammie Farley
Deposited On:23 Apr 2012 15:42
Last Modified:13 Mar 2013 09:06

Repository Staff Only: item control page