A Survey on Databases for Facial Expression Analysis

Raphaël Weber, Catherine Soladié, Renaud Séguier

2018

Abstract

Facial expression databases are essential to develop and test a system of facial expressions analysis. We propose in this paper a survey based on the review of 61 databases. To the best of our knowledge, there are no other surveys with so many databases. We identify 18 characteristics to describe the database and group them in 6 categories, (population, modalities, data acquisition hardware, experimental conditions, experimental protocol and annotations). These characteristics are useful to create or choose a database relevant to the targeted context application. We propose to classify the databases according to these characteristics so it can be helpful for researchers to choose the database suited to their context application. We bring to light the trends between posed, spontaneous and in-the-wild databases. We finish with future directions, including crowd sourcing and databases with groups of people.

Paper Citation

in Harvard Style

Weber R., Soladié C. and Séguier R. (2018). A Survey on Databases for Facial Expression Analysis. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 73-84. DOI: 10.5220/0006553900730084

in Bibtex Style

@conference{visapp18,
author={Raphaël Weber and Catherine Soladié and Renaud Séguier},
title={A Survey on Databases for Facial Expression Analysis},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP},
year={2018},
pages={73-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006553900730084},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP
TI - A Survey on Databases for Facial Expression Analysis
SN - 978-989-758-290-5
AU - Weber R.
AU - Soladié C.
AU - Séguier R.
PY - 2018
SP - 73
EP - 84
DO - 10.5220/0006553900730084
PB - SciTePress