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Proceedings Paper

Face recognition via a projective compressive sensing system
Author(s): Brant M. Kaylor; Charlie J. Keith; Peter A. Roos; Randy R. Reibel
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Paper Abstract

A projective compressive sensing system for face recognition is presented. The Fisherfaces method was utilized for classification of the face images. The system uses a digital micromirror device to project measurement vectors onto the scene and a single photodetector to collect the backscattered illumination. Experimentally, the system accuracy was 95.5% using only 32 measurements per image; this performance matches the simulation results. The total number of image pixels was 5,736 (84 × 64) resulting in a compression factor of 168 over a conventional imaging system.

Paper Details

Date Published: 13 February 2012
PDF: 6 pages
Proc. SPIE 8254, Emerging Digital Micromirror Device Based Systems and Applications IV, 82540G (13 February 2012); doi: 10.1117/12.909056
Show Author Affiliations
Brant M. Kaylor, Bridger Photonics, Inc. (United States)
Charlie J. Keith, Bridger Photonics, Inc. (United States)
Peter A. Roos, Bridger Photonics, Inc. (United States)
Randy R. Reibel, Bridger Photonics, Inc. (United States)

Published in SPIE Proceedings Vol. 8254:
Emerging Digital Micromirror Device Based Systems and Applications IV
Michael R. Douglass; Patrick I. Oden, Editor(s)

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