计算机科学 ›› 2019, Vol. 46 ›› Issue (9): 284-290.doi: 10.11896/j.issn.1002-137X.2019.09.043
所属专题: 医学图像
周小龙, 姜嘉祺, 林家宁, 陈胜勇
ZHOU Xiao-long, JIANG Jia-qi, LIN Jia-ning, CHEN Sheng-yong
摘要: 为提高视线估计中人眼虹膜中心定位的准确性,提出了一种基于三维眼球模型和Snakuscule的新型虹膜中心定位算法。首先,通过人脸对齐方法获取面部特征点,利用特征点初步求得虹膜中心粗定位点;然后,通过判断眼部区域状态降低图像带来的误差;接着,针对Snakuscule能量模型进行改进,通过初始化一个半径固定的Snakuscule模型,对虹膜轮廓进行迭代更新。通过改进的Snakuscule模型结合三维眼球模型获得能量值,其中三维眼球模型反映了虹膜中心、眼球中心和虹膜边界之间组成的几何关系,根据所求能量值不断迭代更新虹膜轮廓,求得最终虹膜中心精确定位点。最后,在BioID 脸部数据库上的实验验证了所提算法的有效性和优越性,该算法的最大标准误差在e≤0.05,e≤0.1和e≤0.25内分别达到了85.0%,97.8%和99.8%。
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