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2018 | OriginalPaper | Chapter

Pupil Localization Using Geodesic Distance

Author : Radovan Fusek

Published in: Advances in Visual Computing

Publisher: Springer International Publishing

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Abstract

The main contributions of the presented paper can be summarized as follows. Firstly, we introduce a unique and robust dataset of human eyes that can be used in many detection and recognition scenarios, especially for the recognition of driver drowsiness, gaze direction, or eye-blinking frequency. The dataset consists of approximately 85,000 different eye regions that were captured using various near-infrared cameras, various resolutions, and various lighting conditions. The images are annotated into many categories. Secondly, we present a new method for pupil localization that is based on the geodesic distance. The presented experiments show that the proposed method outperforms the state-of-the-art methods in this area.

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Title: Pupil Localization Using Geodesic Distance
Author: Radovan Fusek
Publisher: Springer International Publishing
Book: Advances in Visual Computing
Print ISBN: 978-3-030-03800-7

Electronic ISBN: 978-3-030-03801-4

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-03801-4_38

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