Paper Title:
Facial Expression Recognition Based on 2D Gabor Transforms and SVM
  Abstract

In the facial expression recognition, a dimension disaster will arise when taking the coefficient of Gabor transforms as the expression eigenvectors. To avoid this issue we draw grids on facial region, making the mean coefficient value of Gabor transforms of each gird as the eigenvectors. Furthermore we classify the expression by constructing the multi-class C-SVC, improved the accuracy and speed of the algorithm by dropping the redundant features using sequential backward selection. The experimental result proves the superiority of the algorithm we proposed to other algorithms.

  Info
Periodical
Edited by
Qi Luo
Pages
238-242
DOI
10.4028/www.scientific.net/AMM.58-60.238
Citation
C. H. Liu, Z. Zheng, F. Gao, "Facial Expression Recognition Based on 2D Gabor Transforms and SVM", Applied Mechanics and Materials, Vols. 58-60, pp. 238-242, 2011
Online since
June 2011
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