Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection

	Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection
	Li, Zhifeng; Gong, Dihong; Li, Xuelong; Tao, Dacheng
刊名	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2016
英文摘要	Aging face recognition refers to matching the same person's faces across different ages, e.g., matching aperson's older face to his (or her) younger one, which has many important practical applications, such as finding missing children. The major challenge of this task is that facial appearance is subject to significant change during the aging process. In this paper, we propose to solve the problem with a hierarchical modelbased on two-level learning. At the first level, effective features are learned from low-level microstructures,based on our new feature descriptor called local pattern selection (LPS). The proposed LPS descriptor greedily selects low-level discriminant patterns in a way, such that intra-user dissimilarity is minimized. At the second level, higher level visual information is further refined based on the output from the first level. To evaluate the performance of our new method, we conduct extensive experiments on the MORPH data set (the largest face aging data set available in the public domain), which show a significant improvement in accuracy over the state-of-the-art methods.
收录类别	SCI
原文出处	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7420684
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/9796]
专题	深圳先进技术研究院_集成所
作者单位	IEEE TRANSACTIONS ON IMAGE PROCESSING
推荐引用方式 GB/T 7714	Li, Zhifeng,Gong, Dihong,Li, Xuelong,et al. Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2016.
APA	Li, Zhifeng,Gong, Dihong,Li, Xuelong,&Tao, Dacheng.(2016).Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection.IEEE TRANSACTIONS ON IMAGE PROCESSING.
MLA	Li, Zhifeng,et al."Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection".IEEE TRANSACTIONS ON IMAGE PROCESSING (2016).