2.5D Face Recognition Using Patch Geodesic Moments

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Title 2.5D Face Recognition Using Patch Geodesic Moments
Author Hajati, Farshid; Raie, Abolghasem A.; Gao, Yongsheng
Journal Name Pattern Recognition
Year Published 2012
Place of publication United Kingdom
Publisher Elsevier
Abstract In this paper, we propose a novel Patch Geodesic Distance (PGD) to transform the texture map of an object through its shape data for robust 2.5D object recognition. Local geodesic paths within patches and global geodesic paths for patches are combined in a coarse to fine hierarchical computation of PGD for each surface point to tackle the missing data problem in 2.5D images. Shape adjusted texture patches are encoded into local patterns for similarity measurement between two 2.5D images with different viewing angles and/or shape deformations. An extensive experimental investigation is conducted on 2.5 face images using the publicly available BU-3DFE and Bosphorus databases covering face recognition under expression and pose changes. The performance of the proposed method is compared with that of three benchmark approaches. The experimental results demonstrate that the proposed method provides a very encouraging new solution for 2.5D object recognition.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1016/j.patcog.2011.08.025
Volume 45
Issue Number 3
Page from 969
Page to 982
ISSN 0031-3203
Date Accessioned 2012-06-18; 2012-09-14T01:27:18Z
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Computer Vision; Pattern Recognition and Data Mining
URI http://hdl.handle.net/10072/46781
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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