By Thirimachos Bourlai
This authoritative text/reference provides a accomplished overview of algorithms and strategies for face acceptance (FR), with an emphasis on structures that may be reliably utilized in operational environments. Insights are supplied through a global group of pre-eminent specialists into the processing of multispectral and hyperspectral face pictures captured lower than out of control environments. those discussions hide numerous imaging sensors starting from state of the art seen and infrared imaging sensors, to RGB-D and cellphone photograph sensors. more than a few diversified biometric modalities also are tested, together with face, periocular and iris. This well timed quantity is a mine of worthwhile info for researchers, practitioners and scholars taken with snapshot processing, machine imaginative and prescient, biometrics and security.
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Extra resources for Face Recognition Across the Imaging Spectrum
Multispectral Face Imagery—Background One of the key aspects to facial recognition (FR) technology is the proper development of algorithms, which are able to successfully and consistently identify subjects. Many challenges exist within this realm, ranging from image quality to subject pose angle. These challenges are impacted by not just the camera system, but also by the scenario in which the data are collected. These scenarios impact the strategy of the algorithms that need to be designed, to mitigate the scenario-speciﬁc challenges.
When approaching the issue of matching visible galleries to infrared probe images, the shorter wavelengths promote a more natural transition from the visible gallery. Both the visible band and the shorter IR wavelengths have their advantages when applied to facial recognition, and thus, different applications have been developed. For instance, in 2009, a research group from the West Virginia High Technology Consortium Foundation (WVHTCF) developed an active-SWIR system, dubbed TINDERS, for detecting facial features at distances up to 400 m .
In: Proceedings of SPIE International Society of Optical Engineering (OE), Orlando, FL, USA, April 28. : Accurate eye localization in the short waved infrared spectrum through summation range ﬁlters. J. Comput. Vis. Image Underst. (CVIU) 139, 59–72 (2015) 29. : On designing an unconstrained tri-band pupil detection system for human identiﬁcation. J. Mach. Vis. Appl. 1–19 (2015) 30. : Face recognition in the SWIR band when using single sensor multi-wavelength imaging systems. J Image Vis. Comput.
Face Recognition Across the Imaging Spectrum by Thirimachos Bourlai