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Remarks on Statistical Evaluations for Facial Expression Recognition.
- Source :
- AIP Conference Proceedings; 2020, Vol. 2293 Issue 1, p180003-1-180003-3, 3p
- Publication Year :
- 2020
-
Abstract
- In “Multidimensional Bernstein polynomials and Bezier curves: Analysis of machine learning algorithm for facial ex- ´ pression 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- FACIAL expression
BERNSTEIN polynomials
MACHINE learning
CURVATURE
MATHEMATICS
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2293
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 147451562
- Full Text :
- https://doi.org/10.1063/5.0026784