Remarks on Statistical Evaluations for Facial Expression

Simsek B.

International Conference on Numerical Analysis and Applied Mathematics (ICNAAM), Rhodes, Greece, 23 - 28 September 2019, vol.2293 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2293
  • Doi Number: 10.1063/5.0026784
  • City: Rhodes
  • Country: Greece
  • Keywords: Bezier curve, Bernstein basis function, Facial expression recognition, Hausdorff distance, Statistical evaluations, SPSS, BEZIER CURVES
  • Akdeniz University Affiliated: Yes

Abstract

In "Multidimensional Bernstein polynomials and Bezier curves: Analysis of machine learning algorithm for facial expression recognition based on curvature, Appl. Math. Comput. 344-345 (2019) 150-162", some statistical evaluations on feature vectors were given in order to analyse their meaningfulness while classifying human facial expressions. In this paper, by using some results arising from SPSS program, we provide some further statistical evaluations and observations which are related to features based on the calculated Hausdorff distances between Bezier curves belonging to the regions that shape human facial expressions.