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Multi-sensory face biometric fusion (for personal identification)

Arandjelovic, Ognjen, Hammoud, R.I. and Cipolla, R. 2006, Multi-sensory face biometric fusion (for personal identification), in CVPRW 2006 : Proceedings of the Computer Vision and Pattern Recognition Workshop 2006, IEEE, Piscataway, New Jersey, pp. 128-135, doi: 10.1109/CVPRW.2006.135.

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Title Multi-sensory face biometric fusion (for personal identification)
Author(s) Arandjelovic, Ognjen
Hammoud, R.I.
Cipolla, R.
Conference name Computer Vision and Pattern Recognition Workshop (2006 : New York, NY)
Conference location New York, NY
Conference dates 17-22 June 2006
Title of proceedings CVPRW 2006 : Proceedings of the Computer Vision and Pattern Recognition Workshop 2006
Editor(s) [Unknown]
Publication date 2006
Conference series Computer Vision and Pattern Recognition Workshop
Start page 128
End page 135
Total pages 8
Publisher IEEE
Place of publication Piscataway, New Jersey
Keyword(s) thermal spectra
facial appearance
identification rate
training images
Summary The objective of this work is to recognize faces using sets of images in visual and thermal spectra. This is challenging because the former is greatly affected by illumination changes, while the latter frequently contains occlusions due to eye-wear and is inherently less discriminative. Our method is based on a fusion of the two modalities. Specifically: we examine (i) the effects of preprocessing of data in each domain, (ii) the fusion of holistic and local facial appearance, and (iii) propose an algorithm for combining the similarity scores in visual and thermal spectra in the presence of prescription glasses and significant pose variations, using a small number of training images (5-7). Our system achieved a high correct identification rate of 97% on a freely available test set of 29 individuals and extreme illumination changes.
ISBN 0769526462
Language eng
DOI 10.1109/CVPRW.2006.135
Field of Research 080104 Computer Vision
080106 Image Processing
080109 Pattern Recognition and Data Mining
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2006, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30058432

Document type: Conference Paper
Collections: Centre for Pattern Recognition and Data Analytics
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.