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Biologically inspired 3D face recognition from surface normals

Hansen, Mark F; Atkinson, Gary

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Authors

Mark Hansen Mark.Hansen@uwe.ac.uk
Professor of Machine Vision and Machine Learning



Abstract

A major consideration in state-of-the-art face recognition systems is the amount of data that is required to represent a face. Even a small (64 × 64) photograph of a face has 2 12 dimensions in which a face may sit. When large (> 1MB) photographs of faces are used, this represents a very large (and practically intractable) space and ways of reducing dimensionality without losing discriminatory information are needed for storing data for recognition. The eigenface technique, which is based upon Principal Components Analysis (PCA), is a well established dimension reduction method in face recognition research but does not have any biological basis. Humans excel at familiar face recognition and this paper attempts to show that modelling a biologically plausible process is a valid alternative approach to using eigenfaces for dimension reduction. Using a biologically inspired method to extract the certain facial discriminatory information which mirrors some of the idiosyncrasies of the human visual system, we show that recognition rates remain high despite 90% of the raw data being discarded. © 2010 Published by Elsevier Ltd.

Citation

Hansen, M. F., & Atkinson, G. (2010, September). Biologically inspired 3D face recognition from surface normals. Paper presented at Procedia Computer Science, Coimbatore, India

Presentation Conference Type Conference Paper (unpublished)
Conference Name Procedia Computer Science
Conference Location Coimbatore, India
Start Date Sep 2, 2010
End Date Sep 4, 2010
Publication Date Jan 1, 2010
Deposit Date Nov 8, 2012
Publicly Available Date Mar 29, 2024
Journal Proceedings of the International Conference and Exhibition on Biometrics Technology
Electronic ISSN 1877-0509
Peer Reviewed Peer Reviewed
Volume 2
Pages 26-34
DOI https://doi.org/10.1016/j.procs.2010.11.005
Keywords 3D Face recognition, photometric stereo, biometrics, caricature
Public URL https://uwe-repository.worktribe.com/output/973141
Publisher URL http://www.sciencedirect.com/science/article/pii/S1877050910003352
Additional Information Title of Conference or Conference Proceedings : Proceedings of the International Conference and Exhibition on Biometrics Technology

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