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Video-Based Framework for Face Recognition in Video

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National Research Council Canada Institute for Information Technology

Conseil national de recherches Canada Institut de technologie de l'information

Video-Based Framework for Face Recognition in Video *
Gorodnichy, D. May 2005

* published at Second Workshop on Face Processing in Video (FPiV'05) in Proceedings of Second Canadian Conference on Computer and Robot Vision (CRV'05). pp. 330-338. Victoria, British Columbia, Canada. May 9-11, 2005. ISBN 0-7695-2319-6. NRC 48216.

Copyright 2005 by National Research Council of Canada Permission is granted to quote short excerpts and to reproduce figures and tables from this report, provided that the source of such material is fully acknowledged.

In Proc. CRV'05, Victoria, Canada, May 8-11, 2005

Video-based framework for face recognition in video
Dmitry O. Gorodnichy Institute for Information Technology (IIT-ITI) National Research Council of Canada (NRC-CNRC) Montreal Rd, M-50, Ottawa, Canada K1A 0R6 http://iit-iti.nrc-cnrc.gc.ca Abstract
This paper presents a number of new views and techniques claimed to be very important for the problem of face recognition in video (FRiV). First, a clear differentiation is made between photographic facial data and video-acquired facial data as being two different modalities: one providing hard biometrics, the other providing softer biometrics. Second, faces which have the resolution of at least 12 pixels between the eyes are shown to be recognizable by computers just as they are by humans. As a way to deal with low resolution and quality of each individual video frame, the paper offers to use the neuro-associative principle employed by human brain, according to which both memorization and recognition of data are done based on a flow of frames rather than on one frame: synaptic plasticity provides a way to memorize from a sequence, while the collective decision making over time is very suitable for recognition of a sequence. As a benchmark for FRiV approaches, the paper...


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