Please use this identifier to cite or link to this item:
Title: Face recognition using spatially constrained earth mover's distance
Authors: Xu, D.
Yan, S. 
Luo, J.
Keywords: Asymmetric similarity measure
Face recognition
Spatial misalignments
Spatially constrained Earth mover's Distance (SEMD)
Issue Date: 2008
Citation: Xu, D., Yan, S., Luo, J. (2008). Face recognition using spatially constrained earth mover's distance. IEEE Transactions on Image Processing 17 (11) : 2256-2260. ScholarBank@NUS Repository.
Abstract: Face recognition is a challenging problem, especially when the face images are not strictly aligned (e.g., images can be captured from different viewpoints or the faces may not be accurately cropped by a human or automatic algorithm). In this correspondence, we investigate face recognition under the scenarios with potential spatial misalignments. First, we formulate an asymmetric similarity measure based on S patially constrained Earth Mover's Distance (SEMD), for which the source image is partitioned into nonoverlapping local patches while the destination image is represented as a set of overlapping local patches at different positions. Assuming that faces are already roughly aligned according to the positions of their eyes, one patch in the source image can be matched only to one of its neighboring patches in the destination image under the spatial constraint of reasonably small misalignments. Because the similarity measure as defined by SEMD is asymmetric, we propose two schemes to combine the two similarity measures computed in both directions. Moreover, we adopt a distance-as-feature approach by treating the distances to the reference images as features in a Kernel Discriminant Analysis (KDA) framework. Experiments on three benchmark face databases, namely the CMU PIE, FERET, and FRGC databases, demonstrate the effectiveness of the proposed SEMD. © 2008 IEEE.
Source Title: IEEE Transactions on Image Processing
ISSN: 10577149
DOI: 10.1109/TIP.2008.2004430
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Sep 18, 2019


checked on Jul 10, 2019

Page view(s)

checked on Sep 8, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.