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A unified framework for thermal face recognition

Version 2 2024-06-06, 11:44
Version 1 2015-03-06, 10:36
chapter
posted on 2024-06-06, 11:44 authored by RS Ghiass, O Arandjelović, H Bendada, X Maldague
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.

History

Volume

8835

Chapter number

41

Pagination

335-343

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319126395

Language

eng

Publication classification

B Book chapter, B1 Book chapter

Copyright notice

2014, Springer Verlag

Extent

71

Publisher

Springer

Place of publication

Berlin, Germany

Title of book

Neural information processing : 21st International Conference, ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part II

Series

Lecture Notes in Computer Science

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