Fast Eye Detector Using Siamese Network for NIR Partial Face Images

Yuka Ogino, Yuho Shoji, Takahiro Toizumi, Ryoma Oami, Masato Tsukada

2023

Abstract

This paper proposes a fast eye detection method that is based on a Siamese network for near infrared (NIR) partial face images. NIR partial face images do not include the whole face of a subject since they are captured using iris recognition systems with the constraint of frame rate and resolution. The iris recognition systems such as the iris on the move (IOTM) system require fast and accurate eye detection as a pre-process. Our goal is to design eye detection with high speed, high discrimination performance between left and right eyes, and high positional accuracy of eye center. Our method adopts a Siamese network and coarse to fine position estimation with a fast lightweight CNN backbone. The network outputs features of images and the similarity map indicating coarse position of an eye. A regression on a portion of a feature with high similarity refines the coarse position of the eye to obtain the fine position with high accuracy. We demonstrate the effectiveness of the proposed method by comparing it with conventional methods, including SOTA, in terms of the positional accuracy, the discrimination performance, and the processing speed. Our method achieves superior performance in speed.

Paper Citation

in Harvard Style

Ogino Y., Shoji Y., Toizumi T., Oami R. and Tsukada M. (2023). Fast Eye Detector Using Siamese Network for NIR Partial Face Images. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 419-428. DOI: 10.5220/0011617700003417

in Bibtex Style

@conference{visapp23,
author={Yuka Ogino and Yuho Shoji and Takahiro Toizumi and Ryoma Oami and Masato Tsukada},
title={Fast Eye Detector Using Siamese Network for NIR Partial Face Images},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP},
year={2023},
pages={419-428},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011617700003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP
TI - Fast Eye Detector Using Siamese Network for NIR Partial Face Images
SN - 978-989-758-634-7
AU - Ogino Y.
AU - Shoji Y.
AU - Toizumi T.
AU - Oami R.
AU - Tsukada M.
PY - 2023
SP - 419
EP - 428
DO - 10.5220/0011617700003417
PB - SciTePress