Study of Facial Features Combination Using a Novel Adaptive Fuzzy Integral Fusion Model

  • Authors:
  • M. Mahdi Ghazaei Ardakani;Shahriar Baradaran Shokouhi

  • Affiliations:
  • -;-

  • Venue:
  • IEICE - Transactions on Information and Systems
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

A new adaptive model based on fuzzy integrals has been presented and used for combining three well-known methods, Eigenface, Fisherface and SOMface, for face classification. After training the competence estimation functions, the adaptive mechanism enables our system the filtering of unsure judgments of classifiers for a specific input. Comparison with classical and non-adaptive approaches proves the superiority of this model. Also we examined how these features contribute to the combined result and whether they can together establish a more robust feature.