Very low resolution face recognition problem

Wilman Zou*, Pong Chi YUEN

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

19 Citations (Scopus)

Abstract

This paper addresses the very low resolution (VLR) problem in face recognition in which the resolution of face image to be recognized is lower than 16×16. The VLR problem happens in many surveillance camera-based applications and existing face recognition algorithms are not able to give satisfactory performance on VLR face image. While face super-resolution (SR) methods can be employed to enhance the resolution of the images, the existing learning-based face SR methods do not perform well on such a very low resolution face image. To overcome this problem, this paper models the SR problem under VLR case as a regression problem with two constraints. First, a new data constraint is design to perform the error measurement on high resolution image space which provides more detailed and discriminative information. Second, discriminative constraint is proposed and incorporated in the training stage so that the reconstructed HR image has higher discriminability. CMU-PIE, FRGC and surveillant camera face (SCface) databases are selected for experiments. Experimental results show that the proposed method outperforms the existing methods, in terms of image quality and recognition accuracy.

Original languageEnglish
Title of host publicationIEEE 4th International Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems, BTAS 2010
DOIs
Publication statusPublished - 2010
Event4th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010 - Washington, DC, United States
Duration: 27 Sep 201029 Sep 2010

Publication series

NameIEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010

Conference

Conference4th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010
Country/TerritoryUnited States
CityWashington, DC
Period27/09/1029/09/10

Scopus Subject Areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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