TY - JOUR
T1 - Measuring torsional eye movements by tracking stable iris features
AU - Ong, James
AU - Haslwanter, Thomas
PY - 2010/10
Y1 - 2010/10
N2 - 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.
AB - 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.
KW - Ocular torsion
KW - Iris feature tracking
KW - Video-oculography
KW - Maximally Stable Volumes
KW - Ocular torsion
KW - Iris feature tracking
KW - Video-oculography
KW - Maximally Stable Volumes
KW - Eye Movements/physiology
KW - Iris
KW - Eye Movement Measurements
KW - Image Processing, Computer-Assisted
KW - Humans
KW - Video Recording/methods
UR - http://www.scopus.com/inward/record.url?scp=77956767423&partnerID=8YFLogxK
U2 - 10.1016/j.jneumeth.2010.08.004
DO - 10.1016/j.jneumeth.2010.08.004
M3 - Article
C2 - 20708033
SN - 0165-0270
VL - 192
SP - 261
EP - 267
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
IS - 2
ER -