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Face Recognition Across the Imaging Spectrum by Thirimachos Bourlai

By Thirimachos Bourlai

This authoritative text/reference offers a accomplished overview of algorithms and strategies for face attractiveness (FR), with an emphasis on structures that may be reliably utilized in operational environments. Insights are supplied by way of a world workforce of pre-eminent specialists into the processing of multispectral and hyperspectral face photographs captured less than out of control environments. those discussions hide a number of imaging sensors starting from cutting-edge obvious and infrared imaging sensors, to RGB-D and cellphone photo sensors. a number of diverse biometric modalities also are tested, together with face, periocular and iris. This well timed quantity is a mine of precious info for researchers, practitioners and scholars all in favour of snapshot processing, desktop imaginative and prescient, biometrics and security.

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Opt. Express 3(6), 1433–1445 (2012). 001433 31. : NIST Measurement Services: Spectral Reflectance. NIST Special Publication, pp. 250–48 (1998) 32. : Spectral detection of human skin in VIS-SWIR hyperspectral imagery without radiometric calibration. Thesis, Air Force Institute of Technology (2012) 33. : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI Baltimore, Maryland, United States, 20 Apr 2015 (Note: this conference, including the preceding years, has produced over 1,000 papers on the subject of spectral imaging algorithms) 34.

2. Protocol Statement Description: This form is submitted electronically to the WVU Institutional Review Board (IRB) by the Principal Investigator. The Protocol Statement form contains information about: • Research teams: Principal Investigator, affiliated and non-affiliated team members, primary study contact, etc. • Funding sources. • Research studies and activities location. • Exemption determination. • Design of the research, including the category of research, procedures, subjects, sample size, potential risks and discomforts, potential benefits, confidentiality, subjects’ costs, payments to subjects, etc.

CODATA Value: Wien wavelength displacement law constant. The NIST Reference on Constants, Units, and Uncertainty. US National Institute of Standards and Technology, June 2011. gov/cuu/Constants/ 25. , Medical hyperspectral imaging: a review. J. Biomed. Opt. 0001 19(1), 010901 (2014) 26. : The evaluation of hyperspectral imaging for the detection of person-borne threat objects over the 400 nm to 1700 nm spectral region. In: Proceedings of SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83570O, 1 May 2012.

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