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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 10 — Apr. 1, 2010
  • pp: B92–B103

Large-scale pose-invariant face recognition using cellular simultaneous recurrent network

Yong Ren, Khan M. Iftekharuddin, and William E. White  »View Author Affiliations


Applied Optics, Vol. 49, Issue 10, pp. B92-B103 (2010)
http://dx.doi.org/10.1364/AO.49.000B92


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Abstract

In this work, we propose a novel technique for face recognition with ± 90 ° pose variations in image sequences using a cellular simultaneous recurrent network (CSRN). We formulate the recognition prob lem with such large-pose variations as an implicit temporal prediction task for CSRN. We exploit a face extraction algorithm based on the scale-space method and facial structural knowledge as a preprocessing step. Further, to reduce computational cost, we obtain eigenfaces for a set of image sequences for each person and use these reduced pattern vectors as the input to CSRN. CSRN learns how to associate each face class/person in the training phase. A modified distance metric between successive frames of test and training output pattern vectors indicate either a match or mismatch between the two corresponding face classes. We extensively evaluate our CSRN-based face recognition technique using the publicly available VidTIMIT Audio-Video face dataset. Our simulation shows that for this dataset with large-scale pose variations, we can obtain an overall 77% face recognition rate.

© 2010 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(100.4995) Image processing : Pattern recognition, metrics
(100.4996) Image processing : Pattern recognition, neural networks

History
Original Manuscript: September 30, 2009
Revised Manuscript: January 12, 2010
Manuscript Accepted: March 3, 2010
Published: March 30, 2010

Citation
Yong Ren, Khan M. Iftekharuddin, and William E. White, "Large-scale pose-invariant face recognition using cellular simultaneous recurrent network," Appl. Opt. 49, B92-B103 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-10-B92

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