Wearable face recognition aid

Author

Iordanoglou, C. ; Jonsson, K. ; Kittler, J. ; Matas, J.

Author_Institution

Surrey Univ., Guildford, UK

Volume

6

fYear

2000

fDate

2000

Firstpage

2365

Abstract

The feasibility of realising a low cost wearable face recognition aid based on a robust correlation algorithm is investigated. The aim of the study is to determine the limiting spatial and grey level resolution of the probe and gallery images that would support successful prompting of the identity of input face images. Low spatial and grey level resolution images are obtained from good quality image data algorithmically. The tests carried out on the XM2VTS database demonstrate that robust correlation is very resilient to degradations of spatial and grey level image resolution. Correct prompts have been generated in 98% cases even for severely degraded images

Keywords

correlation methods; face recognition; image resolution; XM2VTS database; degraded images; gallery images; grey level resolution images; input face images; limiting grey level resolution; limiting spatial level resolution; low spatial resolution images; low-resolution camera; probe images; quality image data; robust correlation algorithm; wearable face recognition aid; Costs; Degradation; Face recognition; Image databases; Image resolution; Probes; Robustness; Spatial databases; Spatial resolution; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.859316

Filename

859316