Features Extraction based on an Origami Representation of 3D Landmarks

Juan Manuel Fernandez Montenegro, Mahdi Maktab Dar Oghaz, Athanasios Gkelias, Georgios Tzimiropoulos, Vasileios Argyriou

2019

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.

Paper Citation

in Harvard Style

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, SciTePress, pages 295-302. DOI: 10.5220/0007249402950302

in Bibtex Style

@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},
}

in EndNote Style

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
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