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Content Provider | IEEE Xplore Digital Library |
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Author | Socolinsky, D.A. Selinger, A. |
Copyright Year | 2004 |
Description | Author affiliation: Equinox Corp., Baltimore, MD, USA (Socolinsky, D.A.) |
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. |
Sponsorship | IEEE Comput. Soc |
File Size | 382511 |
File Format | |
ISBN | 0769521584 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2004.1315275 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-06-27 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Face recognition Infrared imaging Image databases Probes Testing Optical imaging Thermal sensors Image recognition Thermal degradation Thermal expansion |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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