Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition

	Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition
	Zhifeng Li; Dihong Gong; Xuelong Li; Dacheng Tao
刊名	IEEE Transactions on Image Processing
	2015
英文摘要	Dense feature extraction is becoming increasingly popular in face recognition tasks. Systems based on this approach have demonstrated impressive performance in a range of challenging scenarios. However, improvements in discriminative power come at a computational cost and with a risk of over-fitting. In this paper, we propose a new approach to dense feature extraction for face recognition, which consists of two steps. First, an encoding scheme is devised that compresses high-dimensional dense features into a compact representation by maximizing the intrauser correlation. Second, we develop an adaptive feature matching algorithm for effective classification. This matching method, in contrast to the previous methods, constructs and chooses a small subset of training samples for adaptive matching, resulting in further performance gains. Experiments using several challenging face databases, including labeled Faces in the Wild data set, Morph Album 2, CUHK optical-infrared, and FERET, demonstrate that the proposed approach consistently outperforms the current state of the art.
收录类别	SCI
原文出处	http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7094272
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/6560]
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	Zhifeng Li,Dihong Gong,Xuelong Li,et al. Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition[J]. IEEE Transactions on Image Processing,2015.
APA	Zhifeng Li,Dihong Gong,Xuelong Li,&Dacheng Tao.(2015).Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition.IEEE Transactions on Image Processing.
MLA	Zhifeng Li,et al."Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition".IEEE Transactions on Image Processing (2015).