Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9378
Title: Emulating biological strategies for uncontrolled face recognition
Authors: Deng, W
Hu, J
Guo, J
Cai, W
Feng, D
Keywords: Face recognition
Biologically inspired computer vision
Linear discriminant analysis
Dimensionality reduction
Information fusion
Issue Date: 2010
Publisher: Elsevier
Source: Pattern recognition, 2010, v. 43, no. 6, p. 2210-2223 How to cite?
Journal: Pattern recognition 
Abstract: Face recognition technology is of great significance for applications involving national security and crime prevention. Despite enormous progress in this field, machine-based system is still far from the goal of matching the versatility and reliability of human face recognition. In this paper, we show that a simple system designed by emulating biological strategies of human visual system can largely surpass the state-of-the-art performance on uncontrolled face recognition. In particular, the proposed system integrates dual retinal texture and color features for face representation, an incremental robust discriminant model for high level face coding, and a hierarchical cue-fusion method for similarity qualification. We demonstrate the strength of the system on the large-scale face verification task following the evaluation protocol of the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4. The results are surprisingly well: Its modules significantly outperform their state-of-the-art counterparts, such as Gabor image representation, local binary patterns, and enhanced Fisher linear discriminant model. Furthermore, applying the integrated system to the FRGC version 2 Experiment 4, the verification rate at the false acceptance rate of 0.1 percent reaches to 93.12 percent.
URI: http://hdl.handle.net/10397/9378
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2009.12.026
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

19
Last Week
0
Last month
Citations as of Dec 6, 2017

WEB OF SCIENCETM
Citations

11
Last Week
0
Last month
0
Citations as of Dec 12, 2017

Page view(s)

38
Last Week
1
Last month
Checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric



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