File(s) under permanent embargo
A unified framework for thermal face recognition
chapter
posted on 2014-01-01, 00:00 authored by R S Ghiass, O Arandjelović, H Bendada, X MaldagueThe 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
Title of book
Neural information processing : 21st International Conference, ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part IIVolume
8835Series
Lecture Notes in Computer ScienceChapter number
41Pagination
335 - 343Publisher
SpringerPlace of publication
Berlin, GermanyISSN
0302-9743eISSN
1611-3349ISBN-13
9783319126395Language
engPublication classification
B Book chapter; B1 Book chapterCopyright notice
2014, Springer VerlagExtent
71Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC