Title :
Wearable face recognition aid
Author :
Iordanoglou, C. ; Jonsson, K. ; Kittler, J. ; Matas, J.
Author_Institution :
Surrey Univ., Guildford, UK
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.859316
