Abstract
Thermal infrared sensors can be used for measuring the facial skin temperature and other parts of the human. Unfortunately, it is difficult to extract some face features, even the salient features such as the corners of eyes and mouth, nostrils, in the infrared image due to the limitations of the infrared camera: higher noise. This motivates us to develop a system that combines the infrared and visible-spectrum sensors to measure the skin-temperature of the faces.
In this paper, a new method is proposed to measure the face temperature by combining the visible and infrared face images. A novel vanishing-point based approach is applied to the visible image to determine the 3D pose of the human head. Then the corresponding pose with respect to the infrared camera is computed through the known relationship between the visible and infrared cameras, which is calibrated. By doing so, the skin temperature range within the infrared image can be superimposed over the visible face image. The results on the synthetic data and real images have verified the performance of the approach.
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Jian-Gang, W., Venkteswarlu, R. (2003). Pose for Fusing Infrared and Visible-Spectrum Imagery. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_111
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DOI: https://doi.org/10.1007/3-540-44887-X_111
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