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Physics-based revocable face recognition

  • University of Maryland, College Park
  • IBM

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We present a face reconstruction approach for revocable face matching. The proposed approach generates photometrically valid cance-lable face images by following the image formation process. Given a face image, the approach estimates facial albedo followed by a subject-specific key based photometric deformation to generate a cancelable face image. The proposed approach allows for using any available face matcher to perform verification or recognition in the transformed domain, a capability missing from most exisiting works on cancelable face matching. Experiments are performed to evaluate the performance, privacy and cancelable aspects of the face images reconstructed using the approach. Results obtained are very promising and make a strong case for such backward compatible cancelable face representations that can seamlessly make use of advancements in automatic face recognition research.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages5232-5235
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008 → Apr 4 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/TerritoryUnited States
CityLas Vegas, NV
Period03/31/08 → 04/4/08

Keywords

  • Cancelable biometrics
  • Face recognition
  • Signal-level transforms

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