Understanding the Impact of Image Quality in Face Processing Algorithms

Patricia Reina, Patricia Reina, Armando Menéndez, Armando Menéndez, José Menéndez, José Menéndez, Graça Bressan, Wilson Ruggeiro

Abstract

Face processing algorithms are becoming more popular in recent days due to the great domain of application they can be used in. As a consequence, research about the quality of face images is also increasing. Several papers concluded that image quality does impact the performance of face processing algorithms, with low-quality images having a detrimental effect on performance. However, there is still a need for a comprehensive understanding of the extent of the impact of specific distortions like noise, blur, JPEG compression, and brightness. We’ve conducted a study evaluating the performance of three face processing algorithms with images under different levels of the aforementioned distortions. The study’s results placed noise and blur with Gaussian distributions, as the main distortions affecting performance. A detailed description of the adopted methodology, as well as the results obtained from the study, is presented in this paper.

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Paper Citation


in Harvard Style

Reina P., Menéndez A., Menéndez J., Bressan G. and Ruggeiro W. (2021). Understanding the Impact of Image Quality in Face Processing Algorithms. In Proceedings of the International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE, ISBN 978-989-758-511-1, pages 145-152. DOI: 10.5220/0010486501450152


in Bibtex Style

@conference{improve21,
author={Patricia Reina and Armando Menéndez and José Menéndez and Graça Bressan and Wilson Ruggeiro},
title={Understanding the Impact of Image Quality in Face Processing Algorithms},
booktitle={Proceedings of the International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,},
year={2021},
pages={145-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010486501450152},
isbn={978-989-758-511-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,
TI - Understanding the Impact of Image Quality in Face Processing Algorithms
SN - 978-989-758-511-1
AU - Reina P.
AU - Menéndez A.
AU - Menéndez J.
AU - Bressan G.
AU - Ruggeiro W.
PY - 2021
SP - 145
EP - 152
DO - 10.5220/0010486501450152