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A real time pupil location system using multiple illuminations clustering under varying environment

机译:在多种环境下使用多种照明聚类的实时瞳孔定位系统

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In an eye gaze estimation system, pupil location is key part. And in order to get the position of pupil with high accuracy, edge detector algorithm is necessary. The Canny edge detector is widely used in computer vision to locate sharp intensity changes and to find object boundaries in an image. In this paper, we make a improvement based on dynamic threshold of edge detection algorithm. It makes up for the disadvantage of traditional canny algorithm, which would lose some edges during detecting images with different situation like illumination, glass-wear and so on using fixed threshold.
机译:在视线估计系统中,瞳孔位置是关键部分。并且为了高精度地获得瞳孔的位置,边缘检测器算法是必要的。 Canny边缘检测器广泛用于计算机视觉中,以查找剧烈的强度变化并查找图像中的对象边界。本文对边缘检测算法的动态阈值进行了改进。它弥补了传统Canny算法的缺点,即在使用固定阈值检测具有不同照明度,玻璃磨损等不同情况的图像时会丢失一些边缘。

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