Abstract
This chapter addresses the advantages of using multispectral narrow-band images for face recognition, as opposed to conventional broad-band images obtained by color or monochrome cameras. Narrow-band images are by definition taken over a very small range of wavelengths, while broad-band images average the information obtained over a wide range of wavelengths. There are two primary reasons for employing multispectral imaging for face recognition.
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This work was supported in part by the DOE University Research Program in Robotics under grant DOE-DEFG02-86NE37968 and NSF-CITeR grant 01-598B-UT.
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Koschan, A., Yao, Y., Chang, H., Abidi, M. (2011). Multispectral Face Imaging and Analysis. In: Li, S., Jain, A. (eds) Handbook of Face Recognition. Springer, London. https://doi.org/10.1007/978-0-85729-932-1_16
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DOI: https://doi.org/10.1007/978-0-85729-932-1_16
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