基于圆圈的眼中心定位（CECL）
Circle-based Eye Center Localization (CECL)
摘要：
我们提出了一种改进的基于Hough变换的眼中心定位方法，称为基于圆的眼中心定位（CECL），该方法简单，鲁棒，并且与通常更复杂的最先进的方法相比具有相当的精度。CECL方法依赖于将虹膜与其他面部结构区分开的颜色和形状线索。CECL方法的准确性证明了通过比较与15个国家的最先进的眼睛中心定位方法对五个错误阈值，如文献中所报道的。CECL方法实现了80.8%至99.4%的准确性，并在5个阈值中的2个阈值中排名第一。它的结论是CECL方法提供了一个有吸引力的替代现有的方法自动眼中心定位。
英文摘要：
We propose an improved eye center localization method based on the Hough transform, called Circle-based Eye Center Localization (CECL) that is simple, robust, and achieves accuracy on a par with typically more complex state-of-the-art methods. The CECL method relies on color and shape cues that distinguish the iris from other facial structures. The accuracy of the CECL method is demonstrated through a comparison with 15 state-of-the-art eye center localization methods against five error thresholds, as reported in the literature. The CECL method achieved an accuracy of 80.8% to 99.4% and ranked first for 2 of the 5 thresholds. It is concluded that the CECL method offers an attractive alternative to existing methods for automatic eye center localization.
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