Remarks on Statistical Evaluations for Facial Expression

Simsek B.

International Conference on Numerical Analysis and Applied Mathematics (ICNAAM), Rhodes, Yunanistan, 23 - 28 Eylül 2019, cilt.2293 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 2293
  • Doi Numarası: 10.1063/5.0026784
  • Basıldığı Şehir: Rhodes
  • Basıldığı Ülke: Yunanistan
  • Anahtar Kelimeler: Bezier curve, Bernstein basis function, Facial expression recognition, Hausdorff distance, Statistical evaluations, SPSS, BEZIER CURVES
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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.