loading
Documents

Research.Publish.Connect.

Paper

Authors: Taoufik Ben Abdallah 1 ; Radhouane Guermazi 2 and Mohamed Hammami 1

Affiliations: 1 Sfax University, Tunisia ; 2 Saudi Electronic University, Saudi Arabia

ISBN: 978-989-758-249-3

Keyword(s): Facial Expression Recognition, Local Binary Pattern, Eigenfaces, Controlled Environment, Uncontrolled Environment.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Emotional and Affective Computing ; Enterprise Information Systems ; Human-Computer Interaction ; Multimedia Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: This paper suggests an approach to automatic facial expression recognition for images of frontal faces. Two methods of appearance features extraction is combined: Local Binary Pattern (LBP) on the whole face region and Eigenfaces on the eyes-eyebrows and/or on the mouth regions. Support Vector Machines (SVM), K Nearest Neighbors (KNN) and MultiLayer Perceptron (MLP) are applied separately as learning technique to generate classifiers for facial expression recognition. Furthermore, we conduct to the many empirical studies to fix the optimal parameters of the approach. We use three baseline databases to validate our approach in which we record interesting results compared to the related works regardless of using faces under controlled and uncontrolled environment.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.167.47.248

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ben Abdallah, T.; Ben Abdallah, T.; Guermazi, R. and Hammami , M. (2017). Facial Expression Recognition Improvement through an Appearance Features Combination.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-249-3, pages 111-118. DOI: 10.5220/0006288301110118

@conference{iceis17,
author={Taoufik Ben Abdallah. and Taoufik Ben Abdallah. and Radhouane Guermazi. and Mohamed Hammami .},
title={Facial Expression Recognition Improvement through an Appearance Features Combination},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2017},
pages={111-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006288301110118},
isbn={978-989-758-249-3},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - Facial Expression Recognition Improvement through an Appearance Features Combination
SN - 978-989-758-249-3
AU - Ben Abdallah, T.
AU - Ben Abdallah, T.
AU - Guermazi, R.
AU - Hammami , M.
PY - 2017
SP - 111
EP - 118
DO - 10.5220/0006288301110118

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.