TY - JOUR
T1 - Improving Calibration of 3-D Video Oculography Systems
AU - Schreiber, Kai
AU - Haslwanter, Thomas
N1 - Funding Information:
Manuscript received October 14, 2002; revised August 10, 2003. This work was supported by the Swiss National Science Foundation under Grant 3100-063669. Asterisk indicates ocrresponding author. *K. Schreiber is with the School of Optometry, University of California at Berkeley, 360 Minor Hall, Berkeley, CA 94720-2020 USA. (e-mail: [email protected]). T. Haslwanter is with the ETH/University of Zurich, 8091 Zurich, Switzerland, and Upper Austrian Research, Austria. Digital Object Identifier 10.1109/TBME.2003.821025 Fig. 1. Steps in calibrating the system. (left column) Presentation of the calibration targets at ( ; )—Eye movement—Projection into the image plane—Pupil detection. (right column) The shaded boxes indicate the required algorithms. The inset shows the rotation axes of the eye. Note that the axis for horizontal eye movements (by ) does not intersect with the axis for vertical eye movements (by ). The distance between the two is d. Torsional eye movements are described by the rotation about the line of sight (by ).
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004/4
Y1 - 2004/4
N2 - Eye movement recordings with video-based techniques have become very popular, as long as they are restricted to the horizontal and vertical movements of the eye. Reliable measurement of the torsional component of eye movements, which is especially important in the diagnosis and investigation of pathologies, has remained a coveted goal. One of the main reasons is unresolved technical difficulties in the analysis of video-based images of the eye. Based on simulations, we present solutions to two of the primary problems: a robust and reliable calibration of horizontal and vertical eye movement recordings, and the extraction of suitable iris patterns for the determination of the torsional eye position component.
AB - Eye movement recordings with video-based techniques have become very popular, as long as they are restricted to the horizontal and vertical movements of the eye. Reliable measurement of the torsional component of eye movements, which is especially important in the diagnosis and investigation of pathologies, has remained a coveted goal. One of the main reasons is unresolved technical difficulties in the analysis of video-based images of the eye. Based on simulations, we present solutions to two of the primary problems: a robust and reliable calibration of horizontal and vertical eye movement recordings, and the extraction of suitable iris patterns for the determination of the torsional eye position component.
KW - Biomedical image processing
KW - Eye movements
KW - Image analysis
KW - Video-oculography
KW - Motion
KW - Image Interpretation, Computer-Assisted/instrumentation
KW - Reproducibility of Results
KW - Humans
KW - Calibration/standards
KW - Rotation
KW - Eye Movements/physiology
KW - Algorithms
KW - Video Recording/instrumentation
KW - Models, Biological
KW - Sensitivity and Specificity
KW - Image Enhancement/instrumentation
KW - Imaging, Three-Dimensional/instrumentation
UR - https://www.scopus.com/pages/publications/1642359238
U2 - 10.1109/TBME.2003.821025
DO - 10.1109/TBME.2003.821025
M3 - Article
C2 - 15072222
SN - 0018-9294
VL - 51
SP - 676
EP - 679
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 4
ER -