A unified framework for thermal face recognition

Ghiass,RS, Arandjelović,O, Bendada,H and Maldague,X 2014, A unified framework for thermal face recognitionNeural information processing : 21st International Conference, ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part II, Springer, Berlin, Germany, pp.335-343.

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Title A unified framework for thermal face recognition
Author(s) Ghiass,RS
Title of book Neural information processing : 21st International Conference, ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part II
Publication date 2014
Series Lecture Notes in Computer Science
Chapter number 41
Total chapters 71
Start page 335
End page 343
Total pages 9
Publisher Springer
Place of Publication Berlin, Germany
Summary The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a highly viable modality for face recognition in practice. A particularly attractive advantage of IR-based over conventional, visible spectrumbased face recognition stems from its invariance to visible illumination. In this paper we argue that the main limitation of previous work on face recognition using IR lies in its ad hoc approach to treating different nuisance factors which affect appearance, prohibiting a unified approach that is capable of handling concurrent changes in multiple (or indeed all) major extrinsic sources of variability, which is needed in practice. We describe the first approach that attempts to achieve this – the framework we propose achieves outstanding recognition performance in the presence of variable (i) pose, (ii) facial expression, (iii) physiological state, (iv) partial occlusion due to eye-wear, and (v) quasi-occlusion due to facial hair growth.
ISBN 9783319126395
ISSN 0302-9743
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, Springer Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070331

Document type: Book Chapter
Collection: Centre for Pattern Recognition and Data Analytics
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