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S. Duvdevani-Bar and S. Edelman and A. J. {Howell } and H. Buxton
ABSTRACT
Human observers are capable of recognizing a face seen only once before when confronted with it subsequently under different viewing conditions. We constructed a working computational model of such generalization from a single view, and tested it on a homogeneous database of face images obtained under tightly controlled viewing conditions. The model effectively constructs a view space for novel faces by interpolating view spaces of familiar ones [5]. Its performance -- 30 error rate in one out of 18 recognition, and 8 in one out of three discrimination -- is encouraging, given that it reflects generalization from a single view/expression to a range of \Sigma34 ffi rotation in depth and to two additional expressions. For comparison, human subjects in the one out of three task involving only viewpoint changes exhibit a 3 error rate [11]. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
A similarity-based method for the generalization of face recognition over pose and expressionSite generated on Friday, 06 January 2006