A heuristic approach to 3D face modelling for efficient face recognition

Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Janarthanan Ramadoss

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

Abstract

This article provides a swarm intelligence approach to 3D face recognition. A parametric evolutionary face model is proposed and the optimal parameters are determined by minimizing an error function. The extracted parameters are employed in the recognition phase for classification. Experimental validations have been performed on the neutral face scans of the CASIA Face Database, a challenging database for face recognition purposes and the results demonstrate the efficacy of the approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 12th International Conference on Hybrid Intelligent Systems, HIS 2012
Pages312-317
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 12th International Conference on Hybrid Intelligent Systems, HIS 2012 - Pune, India
Duration: Dec 4 2012Dec 7 2012

Publication series

NameProceedings of the 2012 12th International Conference on Hybrid Intelligent Systems, HIS 2012

Conference

Conference2012 12th International Conference on Hybrid Intelligent Systems, HIS 2012
CountryIndia
CityPune
Period12/4/1212/7/12

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems

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