Constrained Spectral Clustering on Face Annotation System

摘要：

　　Face clustering is a common feature in face annotation system like intelligent photo albums and photo management systems.But unsupervised clustering algorithms perform poorly and researchers turn to work with constrained clustering algorithms that take the user interactions as constraints.Mostly,the constraints are pairwise constraints in the form of Must-Link or Cannot-Link,which can be easily integrated in spectral clustering algorithm.In this paper,we propose a design of face annotation system that can generate more informative constraints and better use constraints with constrained spectral clustering.And we examine the system in a lab situation dataset and a real-live dataset,of which results demonstrate the effectiveness of our method.

关键词： Face clustering Spectral clustering Constrained clustering User interactions Pairwise constraints

作者: Jiajie Han Jiani Hu Weihong Deng

作者单位: School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Xi Tu Cheng Road,10,Beijing 100876,China

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 3-12

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）