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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 7, Iss. 8 — Aug. 2, 2012

Face recognition performance with superresolution

Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, and P. Jonathon Phillips  »View Author Affiliations

Applied Optics, Vol. 51, Issue 18, pp. 4250-4259 (2012)

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With the prevalence of surveillance systems, face recognition is crucial to aiding the law enforcement community and homeland security in identifying suspects and suspicious individuals on watch lists. However, face recognition performance is severely affected by the low face resolution of individuals in typical surveillance footage, oftentimes due to the distance of individuals from the cameras as well as the small pixel count of low-cost surveillance systems. Superresolution image reconstruction has the potential to improve face recognition performance by using a sequence of low-resolution images of an individual’s face in the same pose to reconstruct a more detailed high-resolution facial image. This work conducts an extensive performance evaluation of superresolution for a face recognition algorithm using a methodology and experimental setup consistent with real world settings at multiple subject-to-camera distances. Results show that superresolution image reconstruction improves face recognition performance considerably at the examined midrange and close range.

OCIS Codes
(100.0100) Image processing : Image processing
(100.2980) Image processing : Image enhancement
(100.6640) Image processing : Superresolution
(100.4995) Image processing : Pattern recognition, metrics

ToC Category:
Image Processing

Original Manuscript: September 29, 2011
Revised Manuscript: April 19, 2012
Manuscript Accepted: April 24, 2012
Published: June 20, 2012

Virtual Issues
Vol. 7, Iss. 8 Virtual Journal for Biomedical Optics
June 25, 2012 Spotlight on Optics

Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, and P. Jonathon Phillips, "Face recognition performance with superresolution," Appl. Opt. 51, 4250-4259 (2012)

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