Intelligent pixels of interest selection with application to facial expression recognition using multilayer perceptron - Archive ouverte HAL Access content directly
Journal Articles Signal Processing Year : 2013

Intelligent pixels of interest selection with application to facial expression recognition using multilayer perceptron

(1) , (1, 2, 3) , (1, 2) , (4, 1, 2)
1
2
3
4

Abstract

This paper presents an automatic way to discover pixels in a face image that improves the facial expression recognition results. Main contribution of our study is to provide a practical method to improve classification performance of classifiers by selecting best pixels of interest. Our method exhaustively searches for the best and worst feature window position from a set of face images among all possible combinations using MLP. Then, it creates a non-rectangular emotion mask for feature selection in supervised facial expression recognition problem. It eliminates irrelevant data and improves the classification performance using backward feature elimination. Experimental studies on GENKI, JAFFE and FERET databases showed that the proposed system improves the classification results by selecting the best pixels of interest.
Fichier principal
Vignette du fichier
Intelligent Pixels of Interest Selection with Application to Facial Expression Recognition using Multilayer Perceptron.pdf (3.79 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00804171 , version 1 (29-09-2018)

Identifiers

Cite

Taner Danisman, Ioan Marius Bilasco, Jean Martinet, Chaabane Djeraba. Intelligent pixels of interest selection with application to facial expression recognition using multilayer perceptron. Signal Processing, 2013, Special issue on Machine Learning in Intelligent Image Processing, 93 (6), pp.1547-1556. ⟨10.1016/j.sigpro.2012.08.007⟩. ⟨hal-00804171⟩
229 View
158 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More