Establishing Point Correspondence Using Multidirectional Binary Pattern for Face Recognition

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Title Establishing Point Correspondence Using Multidirectional Binary Pattern for Face Recognition
Author Zhao, Sanqiang; Gao, Yongsheng
Publication Title Proceedings of the 19th International Conference on Pattern Recognition (ICPR)
Editor IAPR
Year Published 2008
Place of publication Los Alamitos, California, USA
Publisher IEEE Computer Society
Abstract This paper presents a new Multidirectional Binary Pattern (MBP) for face recognition. Different from most Local Binary Pattern (LBP) related approaches which cluster LBP occurrences from whole image or partitioned subimage patches and use single or concatenated histogram measurement for recognition, MBP is applied on a sparse set of shape-driven points. The new representation is designed for describing both global structure and local texture, and also significantly reduces the high imensionality of LBP histogram description. Composed of binary patterns from multiple directions, MBP is capable of extracting more discriminative features than LBP. The experiments on face recognition demonstrated the effectiveness of the proposed algorithm against expression and lighting variations.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ICPR.2008.4761248
Copyright Statement Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Conference name The 19th International Conference on Pattern Recognition (ICPR)
Location Tampa, Florida, USA
Date From 2008-12-08
Date To 2008-12-11
URI http://hdl.handle.net/10072/22577
Date Accessioned 2008-07-25
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Computer Vision; PRE2009-Pattern Recognition
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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