UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Investigating the spatial support of signal and noise in face recognition

Fu, Y; Prince, SJD; (2009) Investigating the spatial support of signal and noise in face recognition. In: (pp. pp. 131-138).

Full text not available from this repository.

Abstract

We develop a model for face recognition that describes the image as a sum of signal and noise components. We describe each component as a weighted combination of basis functions. In this paper we investigate the effect of the degree of localization of these basis functions: each might describe the whole image (describe global pixel covariance) or only a small part of the face (describe only local pixel covariance). We find that performance improves when the signal is treated more locally: there is independent information about identity at every position in the image. However, performance decreases when noise is treated more locally: global factors such as pose and illumination conditions can only be understood by looking at a large region of the face. We demonstrate competitive results on several databases using an optimal combination of local signal and global noise models and compare to contemporary approaches. ©2009 IEEE.

Type: Proceedings paper
Title: Investigating the spatial support of signal and noise in face recognition
ISBN-13: 9781424444427
DOI: 10.1109/ICCVW.2009.5457709
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/148780
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item