Wei, Xingjie, Li, Chang-Tsun, Lei, Zhen, Yi, Dong and Li, S. Z. (2014) Dynamic image-to-class warping for occluded face recognition. IEEE Transactions on Information Forensics and Security, Volume 9 (Number 12). pp. 2035-2050. doi:10.1109/TIFS.2014.2359632

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Abstract

Face recognition (FR) systems in real-world applications need to deal with a wide range of interferences, such as occlusions and disguises in face images. Compared with other forms of interferences such as non-uniform illumination and pose changes, face with occlusions has not attracted enough attention yet. A novel approach, coined Dynamic Image-to-Class Warping (DICW), is proposed in this work to deal with this challenge in FR. The face consists of the forehead, eyes, nose, mouth and chin in a natural order and this order does not change despite occlusions. Thus, a face image is partitioned into patches, which are then concatenated in the raster scan order to form an ordered sequence. Considering this order information, DICW computes the Image-to-Class distance between a query face and those of an enrolled subject by finding the optimal alignment between the query sequence and all sequences of that subject along both the time dimension and within-class dimension. Unlike most existing methods, our method is able to deal with occlusions which exist in both gallery and probe images. Extensive experiments on public face databases with various types of occlusions have confirmed the effectiveness of the proposed method.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH):	Human face recognition (Computer science)
Journal or Publication Title:	IEEE Transactions on Information Forensics and Security
Publisher:	IEEE
ISSN:	1556-6013
Official Date:	8 December 2014
Dates:	Date Event 8 December 2014 Published 22 September 2014 Available 10 November 2014 Accepted 15 March 2014 Submitted
Volume:	Volume 9
Number:	Number 12
Page Range:	pp. 2035-2050
DOI:	10.1109/TIFS.2014.2359632
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access
Funder:	Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC)
Grant number:	#61103156 (NSFC), #61473291 (NSFC)
Embodied As:	1

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