计算机科学 ›› 2019, Vol. 46 ›› Issue (11A): 260-263.
罗恒利, 王文博, 葛宏孔
LUO Heng-li, WANG Wen-bo, GE Hong-kong
摘要: 人脸聚类将属于同一身份的人脸图片自动分到同一组,可用于人脸标注和图像管理等领域。传统的聚类算法的准确率很高,其召回率往往较低。为了解决这个问题,文中提出了一种加入三角约束关系和上下文约束的聚类算法。该聚类算法基于条件随机场模型,结合三角约束关系,同时考虑图像中常见的上下文约束,分别在聚类迭代过程和初步聚类之后添加最大相似度约束和共同出现约束,并对簇类进行整合。实验结果显示,结合上下文约束的条件随机场模型可以快速进行人脸聚类,同时还能保证在较高准确率的基础上有较高的召回率,从而提高整体的聚类效果。
中图分类号:
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