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Achieving illumination invariance using image filters

Arandjelovic, Ognjen and Cipolla, R 2007, Achieving illumination invariance using image filters. In Delac, Kresimir and Grgic, Mislav (ed), Face Recognition, InTech Education and Publishing, Vienna, Austria, pp.15-30.

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Title Achieving illumination invariance using image filters
Author(s) Arandjelovic, Ognjen
Cipolla, R
Title of book Face Recognition
Editor(s) Delac, Kresimir
Grgic, Mislav
Publication date 2007
Chapter number 2
Total chapters 28
Start page 15
End page 30
Total pages 16
Publisher InTech Education and Publishing
Place of Publication Vienna, Austria
Summary In this chapter we described a novel framework for automatic face recognition in the presence of varying illumination, primarily applicable to matching face sets or sequences. The framework is based on simple image processing filters that compete with unprocessed greyscale input to yield a single matching score between individuals. By performing all numerically consuming computation offline, our method both (i) retains the matching efficiency of simple image filters, but (ii) with a greatly increased robustness, as all online processing is performed in closed-form. Evaluated on a large, real-world data corpus, the proposed framework was shown to be successful in video-based recognition across a wide range of illumination, pose and face motion pattern changes
ISBN 03866112831
Language eng
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 B1.1 Book chapter
Copyright notice ©2007, InTech Education and Publishing
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30058418

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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.