research-article

Eyelid measurements using digital video processing

Authors:

Carlos Hitoshi Morimoto,

Thomaz Fracon de OliveiraAuthors Info & Claims

SAC '08: Proceedings of the 2008 ACM symposium on Applied computing

Pages 1369 - 1373

https://doi.org/10.1145/1363686.1364003

Published: 16 March 2008 Publication History

Abstract

The aim of this paper is to present an automatic eyelid measurement system based on digital video processing techniques. Currently, the protocol to measure the palpebral fissure (PF) and the marginal reflex distance (MRD) requires the use of a millimetric ruler. This procedure is subject to error and the accuracy and reproducibility of the results depend on the experience of the examiner. The computer vision system introduced in this paper uses two near infrared light sources synchronized with the camera to robustly detect and track the pupil, and then segment the limbus and the eyelids. The corneal reflection generated by the light sources are used to create a reference point that is used to define the vertical line along which the measurements are taken, and to determine when the patient is actually looking at the camera. Our experimental results show that the system is robust to the presence of eyelashes, glasses, and contact lenses, and the measurements can be accurate to tenths of millimeters.

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Cited By

Shen XChen JLei XHuang LWu LYin W(2018)Smart Safety Monitoring System for VehiclesProceedings of the 2018 2nd International Conference on Big Data and Internet of Things10.1145/3289430.3289467(84-87)Online publication date: 24-Oct-2018
https://dl.acm.org/doi/10.1145/3289430.3289467

Index Terms

Eyelid measurements using digital video processing
1. Applied computing
  1. Life and medical sciences
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
      1. Image processing

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Published In

cover image ACM Conferences

SAC '08: Proceedings of the 2008 ACM symposium on Applied computing

March 2008

2586 pages

ISBN:9781595937537

DOI:10.1145/1363686

Conference Chairs:
Roger L. Wainwright
University of Tulsa
,
Hisham M. Haddad
Kennesaw State University

Copyright © 2008 ACM.

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 16 March 2008

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SAC '08: The 2008 ACM Symposium on Applied Computing

March 16 - 20, 2008

Fortaleza, Ceara, Brazil

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Cited By

Shen XChen JLei XHuang LWu LYin W(2018)Smart Safety Monitoring System for VehiclesProceedings of the 2018 2nd International Conference on Big Data and Internet of Things10.1145/3289430.3289467(84-87)Online publication date: 24-Oct-2018
https://dl.acm.org/doi/10.1145/3289430.3289467

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