Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10854
Title: Face recognition using elastic local reconstruction based on a single face image
Authors: Xie, X
Lam, KM 
Keywords: Elastic local reconstruction (ELR)
Expression variations
Face manifold structure
Face recognition
Illumination variations
Issue Date: 2008
Publisher: Pergamon-Elsevier Science Ltd
Source: Pattern recognition, 2008, v. 41, no. 1, p. 406-417 How to cite?
Journal: Pattern Recognition 
Abstract: In this paper, we propose a new face recognition algorithm based on a single frontal-view image for each face subject, which considers the effect of the face manifold structure. To compare two near-frontal face images, each face is considered a combination of a sequence of local image blocks. Each of the image blocks of one image can be reconstructed according to the corresponding local image block of the other face image. Then an elastic local reconstruction (ELR) method is proposed to measure the similarities between the image block pairs in order to measure the difference between the two face images. Our algorithm not only benefits from the face manifold structure, in terms of being robust to various image variations, but also is computationally simple because there is no need to build the face manifold. We evaluate the performance of our proposed face recognition algorithm with the use of different databases, which are produced under various conditions, e.g. lightings, expressions, perspectives, with/without glasses and occlusions. Consistent and promising experimental results were obtained, which show that our algorithm can greatly improve the recognition rates under all the different conditions.
URI: http://hdl.handle.net/10397/10854
DOI: 10.1016/j.patcog.2007.03.020
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

17
Last Week
0
Last month
0
Citations as of Feb 20, 2017

WEB OF SCIENCETM
Citations

12
Last Week
0
Last month
0
Citations as of Feb 24, 2017

Page view(s)

19
Last Week
0
Last month
Checked on Feb 26, 2017

Google ScholarTM

Check

Altmetric



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