Schreiber Kai, Haslwanter Thomas
School of Optometry, University of California at Berkeley, 360 Minor Hall, Berkeley, CA 94720-2020, USA.
IEEE Trans Biomed Eng. 2004 Apr;51(4):676-9. doi: 10.1109/TBME.2003.821025.
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.
基于视频技术的眼动记录已经变得非常流行，只要它们仅限于眼睛的水平和垂直运动。眼动扭转分量的可靠测量在病理学的诊断和研究中尤为重要，但仍然是一个令人向往的目标。主要原因之一是在分析基于视频的眼部图像时存在尚未解决的技术难题。基于模拟，我们提出了两个主要问题的解决方案：对水平和垂直眼动记录进行稳健可靠的校准，以及提取合适的虹膜图案以确定眼动扭转位置分量。
