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Remarks on Statistical Evaluations for Facial Expression Recognition.

Authors :
Simsek, Buket
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]

Details

Language :
English
ISSN :
0094243X
Volume :
2293
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
147451562
Full Text :
https://doi.org/10.1063/5.0026784