Thermal face recognition in an operational scenario

Authors:
Diego A. Socolinsky;Andrea Selinger
Affiliations:
Equinox Corporation, Baltimore, MD;Equinox Corporation, New York, NY
Venue:
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Year:
2004

Citing 7
Cited 7

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Comparison of visible and infra-red imagery for face recognition

FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Comparative Analysis of Face Recognition Performance with Visible and Thermal Infrared Imagery

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Meta-Analysis of Face Recognition Algorithms

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
PCA-Based Face Recognition in Infrared Imagery: Baseline and Comparative Studies

AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Face recognition with visible and thermal infrared imagery

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Computer Vision and Image Understanding
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BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Thermal and reflectance based personal identification methodology under variable illumination

Pattern Recognition
Fused intra-bimodal face verification approach based on Scale-Invariant Feature Transform and a vocabulary tree

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Abstract

We present results on the latest advances in thermal infrared face recognition, and its use in combination with visible imagery. Previous research by the authors has shown high performance under very controlled conditions, or questionable performance under a wider range of conditions. This paper shows results on the use of thermal infrared and visible imagery for face recognition in operational scenarios. In particular, we show performance statistics for outdoor face recognition and recognition across multiple sessions. Our results support the conclusion that face recognition performance with thermal infrared imagery is stable over multiple sessions, and that fusion of modalities increases performance. As measured by the number of images and number of subjects, this is the largest ever reported study on thermal face recognition.