Method for Measuring Rotational Eye Movement by Tracking Eye Vascular Images Using luminance Gradient Information

Nayuta Ono, K. Hoshino
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Abstract

To estimate the angle of the rotational eye movement, the use of the vascular image of the white of the eye has an advantage of being less influenced by a change in its ambient environment unlike the use of iris patterns. However, it has a disadvantage of being hard to select any of eye vascular images as a template suitable for accurate tracking for the reasons; 1) a comparatively strong light source in its ambient environment is reflected on the eye surface and 2) the shape of the vessel in the white of the eye considerably vary with individuals. Accordingly, the present study proposes a method for estimating the rotational eye movement using a template image, which is obtained through the process involving the steps of; extracting image feature points from the white area of the eye in a captured image based on a luminance gradient and selecting, as a template image, the area of the image having a lot of feature points with less reflection from its ambient environment and less erroneous estimation because of no similar shape of vascular image in a search area. The result of the evaluation of the method showed the average value and standard deviation of all the errors of estimation were -0.69° and ±1.02°, respectively in various lighting environments.
利用亮度梯度信息跟踪眼球血管图像测量眼球转动的方法
为了估计眼球旋转运动的角度,与使用虹膜模式不同,使用眼球白色的血管图像具有较少受周围环境变化影响的优点。然而,它的缺点是由于某些原因,难以选择任何适合精确跟踪的眼血管图像作为模板;1)周围环境中较强的光源被反射到眼睛表面上;2)眼睛白色部分的容器形状因个体而有很大差异。因此,本研究提出了一种利用模板图像估计眼球旋转运动的方法,该模板图像通过以下步骤获得;基于亮度梯度从捕获图像的眼睛白色区域提取图像特征点,选择特征点多、对周围环境反射少、搜索区域内没有血管图像形状相似而估计误差小的区域作为模板图像。对该方法的评价结果表明,在各种光照环境下,所有估计误差的平均值和标准差分别为-0.69°和±1.02°。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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