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

M. Nam, P. Rhee, C. Lee
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引用次数: 3

Abstract

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.
基于多照度聚类的瞳孔实时定位系统
在人眼注视估计系统中,瞳孔定位是关键环节。为了高精度地得到瞳孔的位置,需要使用边缘检测算法。canny边缘检测器广泛应用于计算机视觉中,用于定位图像中尖锐的强度变化和寻找物体边界。本文对基于动态阈值的边缘检测算法进行了改进。它弥补了传统canny算法在使用固定阈值检测光照、玻璃磨损等不同情况下的图像时会丢失一些边缘的缺点。
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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