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A Real Time Pupil Location System Using Multiple Illuminations Clustering Under Varying Environment

机译:不同环境下使用多个照明聚类的实时瞳孔位置系统

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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:在眼睛凝视估计系统中,瞳孔位置是关键部分。为了获得高精度的瞳孔位置,需要边缘探测器算法。 Canny Edge检测器广泛用于计算机视觉,以定位急剧性的强度变化并找到图像中的对象边界。在本文中,我们基于边缘检测算法的动态阈值进行改进。它弥补了传统罐装算法的缺点,这在检测不同情况的图像中会失去一些边缘,如使用固定阈值的照明,玻璃磨损等。

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