Computationally efficient statistical face model in the feature space

Mohammad Haghighat, Mohamed Abdel-Mottaleb, Wadee Alhalabi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, we present a computationally efficient statistical face modeling approach. The efficiency of our proposed approach is the result of mathematical simplifications in the core formula of a previous face modeling method and the use of the singular value decomposition. In order to reduce the errors in our resulting models, we preprocess the facial images to normalize for pose and illumination and remove little occlusions. Then, the statistical face models for the enrolled subjects are obtained from the normalized face images. The effects of the variations in pose, facial expression, and illumination on the accuracy of the system are studied. Experimental results demonstrate the reduction in the computational complexity of the new approach and its efficacy in modeling the face images.

Original languageEnglish (US)
Title of host publicationIEEE Workshop on Computational Intelligence in Biometrics and Identity Management, CIBIM
PublisherIEEE Computer Society
Pages126-131
Number of pages6
Volume2015-January
EditionJanuary
DOIs
StatePublished - Jan 19 2015
Event2014 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2014 - 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, CIBIM 2014 - Orlando, United States
Duration: Dec 9 2014Dec 12 2014

Other

Other2014 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2014 - 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, CIBIM 2014
CountryUnited States
CityOrlando
Period12/9/1412/12/14

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ASJC Scopus subject areas

  • Biotechnology
  • Artificial Intelligence
  • Computational Theory and Mathematics

Cite this

Haghighat, M., Abdel-Mottaleb, M., & Alhalabi, W. (2015). Computationally efficient statistical face model in the feature space. In IEEE Workshop on Computational Intelligence in Biometrics and Identity Management, CIBIM (January ed., Vol. 2015-January, pp. 126-131). [7015453] IEEE Computer Society. https://doi.org/10.1109/CIBIM.2014.7015453