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Measuring torsional eye movements by tracking stable iris features

We propose a new method to measure torsional eye movements from videos taken of the eye. In this method, we track iris features that have been identified as Maximally Stable Volumes. These features, which are stable over time, are dark regions with bright borders that are steep in intensity. The adv...

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Detalles Bibliográficos
Autores principales: Ong, James K.Y., Haslwanter, Thomas
Formato: Texto
Lenguaje:English
Publicado: Elsevier/North-Holland Biomedical Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2958308/
https://www.ncbi.nlm.nih.gov/pubmed/20708033
http://dx.doi.org/10.1016/j.jneumeth.2010.08.004
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author Ong, James K.Y.
Haslwanter, Thomas
author_facet Ong, James K.Y.
Haslwanter, Thomas
author_sort Ong, James K.Y.
collection PubMed
description We propose a new method to measure torsional eye movements from videos taken of the eye. In this method, we track iris features that have been identified as Maximally Stable Volumes. These features, which are stable over time, are dark regions with bright borders that are steep in intensity. The advantage of Maximally Stable Volumes is that they are robust to nonuniform illumination and to large changes in eye and camera position. The method performs well even when the iris is partially occluded by reflections or eyelids, and is faster than cross-correlation. In addition, it is possible to use the method on videos of macaque eyes taken in the infrared, where the iris appears almost featureless.
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spelling pubmed-29583082010-11-08 Measuring torsional eye movements by tracking stable iris features Ong, James K.Y. Haslwanter, Thomas J Neurosci Methods Article We propose a new method to measure torsional eye movements from videos taken of the eye. In this method, we track iris features that have been identified as Maximally Stable Volumes. These features, which are stable over time, are dark regions with bright borders that are steep in intensity. The advantage of Maximally Stable Volumes is that they are robust to nonuniform illumination and to large changes in eye and camera position. The method performs well even when the iris is partially occluded by reflections or eyelids, and is faster than cross-correlation. In addition, it is possible to use the method on videos of macaque eyes taken in the infrared, where the iris appears almost featureless. Elsevier/North-Holland Biomedical Press 2010-10-15 /pmc/articles/PMC2958308/ /pubmed/20708033 http://dx.doi.org/10.1016/j.jneumeth.2010.08.004 Text en © 2010 Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/3.0/ Open Access under CC BY-NC-ND 3.0 (https://creativecommons.org/licenses/by-nc-nd/3.0/) license
spellingShingle Article
Ong, James K.Y.
Haslwanter, Thomas
Measuring torsional eye movements by tracking stable iris features
title Measuring torsional eye movements by tracking stable iris features
title_full Measuring torsional eye movements by tracking stable iris features
title_fullStr Measuring torsional eye movements by tracking stable iris features
title_full_unstemmed Measuring torsional eye movements by tracking stable iris features
title_short Measuring torsional eye movements by tracking stable iris features
title_sort measuring torsional eye movements by tracking stable iris features
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2958308/
https://www.ncbi.nlm.nih.gov/pubmed/20708033
http://dx.doi.org/10.1016/j.jneumeth.2010.08.004
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