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Imaging spectroscopy for scene analysis

Author: Antonio A Robles-Kelly; Cong Phuoc Juynh
Publisher: London ; New York : Springer, ©2013.
Series: Advances in computer vision and pattern recognition.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
In contrast with trichromatic image sensors, imaging spectroscopy can capture the properties of the materials in a scene. This implies that scene analysis using imaging spectroscopy has the capacity to robustly encode material signatures, infer object composition and recover photometric parameters. This landmark text/reference presents a detailed analysis of spectral imaging, describing how it can be used in elegant  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Robles-Kelly, Antonio.
Imaging spectroscopy for scene analysis.
[S.l.] : Springer, 2012
(OCoLC)807033494
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Antonio A Robles-Kelly; Cong Phuoc Juynh
ISBN: 9781447146520 1447146522 1447146514 9781447146513
OCLC Number: 817224729
Language Note: English.
Description: 1 online resource : illustrations.
Contents: Spectral Image Acquisition --
Spectral Image Formation Process --
Reflectance Modelling --
Illuminant Power Spectrum --
Photometric Invariance --
Spectrum Representation --
Material Discovery --
Reflection Geometry --
Polarisation of Light --
Shape and Refractive Index from Polarisation.
Series Title: Advances in computer vision and pattern recognition.
Responsibility: Antonio Robles-Kelly, Cong Phuoc Huynh.

Abstract:

This book presents a detailed analysis of spectral imaging, describing how it can be used in material identification, object recognition and scene understanding. It reviews a range of applications,  Read more...

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"This book is a significant and timely contribution in the area of computer vision for imaging spectroscopy for scene analysis. ... This book would be useful to various practitioners and scientists Read more...

 
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