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Authors: Juan Manuel Fernandez Montenegro 1 ; Mahdi Maktab Dar Oghaz 1 ; Athanasios Gkelias 2 ; Georgios Tzimiropoulos 3 and Vasileios Argyriou 1

Affiliations: 1 Kingston University London and U.K. ; 2 Imperial College London and U.K. ; 3 University of Nottingham and U.K.

Keyword(s): Feature Extraction, Machine Learning, Origami.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: Feature extraction analysis has been widely investigated during the last decades in computer vision community due to the large range of possible applications. Significant work has been done in order to improve the performance of the emotion detection methods. Classification algorithms have been refined, novel preprocessing techniques have been applied and novel representations from images and videos have been introduced. In this paper, we propose a preprocessing method and a novel facial landmarks’ representation aiming to improve the facial emotion detection accuracy. We apply our novel methodology on the extended Cohn-Kanade (CK+) dataset and other datasets for affect classification based on Action Units (AU). The performance evaluation demonstrates an improvement on facial emotion classification (accuracy and F1 score) that indicates the superiority of the proposed methodology.

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Paper citation in several formats:
Montenegro, J.; Oghaz, M.; Gkelias, A.; Tzimiropoulos, G. and Argyriou, V. (2019). Features Extraction based on an Origami Representation of 3D Landmarks. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 295-302. DOI: 10.5220/0007249402950302

@conference{visapp19,
author={Juan Manuel Fernandez Montenegro. and Mahdi Maktab Dar Oghaz. and Athanasios Gkelias. and Georgios Tzimiropoulos. and Vasileios Argyriou.},
title={Features Extraction based on an Origami Representation of 3D Landmarks},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={295-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007249402950302},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - Features Extraction based on an Origami Representation of 3D Landmarks
SN - 978-989-758-354-4
IS - 2184-4321
AU - Montenegro, J.
AU - Oghaz, M.
AU - Gkelias, A.
AU - Tzimiropoulos, G.
AU - Argyriou, V.
PY - 2019
SP - 295
EP - 302
DO - 10.5220/0007249402950302
PB - SciTePress

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