Illumination invariant face recognition using thermal infrared imagery
- 25 August 2005
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (10636919)
- https://doi.org/10.1109/cvpr.2001.990519
Abstract
A key problem for face recognition has been accurate identification under variable illumination conditions. Conventional video cameras sense reflected light so that image grayvalues are a product of both intrinsic skin reflectivity and external incident illumination, thus obfuscating the intrinsic reflectivity of skin. Thermal emission from skin, on the other hand, is an intrinsic measurement that can be isolated from external illumination. We examine the invariance of Long-Wave InfraRed (LWIR) imagery with respect to different illumination conditions from the viewpoint of performance comparisons of two well-known face recognition algorithms applied to LWIR and visible imagery. We develop rigourous data collection protocols that formalize face recognition analysis for computer vision in the thermal IR.Keywords
This publication has 7 references indexed in Scilit:
- Comparison of visible and infra-red imagery for face recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Memory-based face recognition for visitor identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- History, current status, and future of infrared identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Lower bounds for high dimensional nearest neighbor search and related problemsPublished by Association for Computing Machinery (ACM) ,1999
- Face recognition: the problem of compensating for changes in illumination directionIeee Transactions On Pattern Analysis and Machine Intelligence, 1997
- Color Night Vision: Opponent Processing in the Fusion of Visible and IR ImageryNeural Networks, 1997
- Eigenfaces for RecognitionJournal of Cognitive Neuroscience, 1991