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K. Jonsson and J. Matas and J. Kittler
ABSTRACT
We propose a novel person verification system for {real-time} face identification. The main features of the system include accurate registration of face images using a robust form of correlation, a framework for global registration of a face database using a minimum spanning tree algorithm and a method for selecting a subset of features optimal for discrimination between clients and impostors. We present results obtained through experiments on a large database with 295 subjects and show that the method is performing well in comparison with two standard methods based on elastic graph matching. 
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
Learning Salient Features for Real-time Face VerificationSite generated on Friday, 06 January 2006