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Research on Pupil Center Location Based on Improved Hough Transform and Edge Gradient Algorithm

机译:基于改进的Hough变换和边缘梯度算法的瞳孔中心位置研究

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According to the poor efficiency of the traditional Hough transform algorithm to detect the pupil center, this paper proposed an edge gradient algorithm, which combines with improved Hough transform algorithm to detect the pupil center. At the beginning, a modified Hough transform algorithm was used to detect the pupil center, if more than one circle was found, the edge gradient algorithm was used to remove the excess circle. Experimental results show that our proposed method can not only improve the efficiency of pupil center location but also achieve better accuracy.
机译:根据传统霍夫变换算法的效率差,本文提出了一种边缘梯度算法,其与改进的霍夫变换算法相结合以检测瞳孔中心。在开始时,使用修改的Hough变换算法来检测瞳孔中心,如果发现多个圆,则使用边缘梯度算法来删除多余的圆圈。实验结果表明,我们所提出的方法不仅可以提高瞳孔中心位置的效率,还可以实现更好的准确性。

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