Comparison of human face matching behavior and computational image similarity measure

Authors: Chen, W., Liu, C., Lander, K. and Fu, X.

Journal: Science in China, Series F: Information Sciences

Volume: 52

Issue: 2

Pages: 316-321

eISSN: 1862-2836

ISSN: 1009-2757

DOI: 10.1007/s11432-009-0044-6

Abstract:

Computational similarity measures have been evaluated in a variety of ways, but few of the validated computational measures are based on a high-level, cognitive criterion of objective similarity. In this paper, we evaluate two popular objective similarity measures by comparing them with face matching performance in human observers. The results suggest that these measures are still limited in predicting human behavior, especially in rejection behavior, but objective measure taking advantage of global and local face characteristics may improve the prediction. It is also suggested that human may set different criterions for "hit" and "rejection" and this may provide implications for biologically-inspired computational systems. © 2009 Science in China Press and Springer-Verlag GmbH.

Source: Scopus