Overview
- Presents a detailed analysis of spectral imaging for material identification, object recognition and scene understanding
- Explores in depth the opportunities and challenges of combining spatial and spectral information
- Reviews a wide range of applications, from surveillance and computational photography to biosecurity and resource exploration
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding. The opportunities and challenges of combining spatial and spectral information are explored in depth, as are a wide range of applications. Features: discusses spectral image acquisition by hyperspectral cameras, and the process of spectral image formation; examines models of surface reflectance, the recovery of photometric invariants, and the estimation of the illuminant power spectrum from spectral imagery; describes spectrum representations for the interpolation of reflectance and radiance values, and the classification of spectra; reviews the use of imaging spectroscopy for material identification; explores the recovery of reflection geometry from image reflectance; investigates spectro-polarimetric imagery, and the recovery of object shape and material properties using polarimetric images captured froma single view.
Reviews
“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 who are working in the area of color image processing, optics, graphics, object reconstruction etc. … The book can be useful for researchers and academics who want to understand imaging spectroscopy for scene understanding. It is a valuable contribution in the area of hyperspectral imaging … .” (Dr. Tanish Zaveri and Bhupendra Fataniya, IAPR Newsletter, Vol. 37 (4), 2015)
Authors and Affiliations
About the authors
Dr. Antonio Robles-Kelly is a Principal Researcher at NICTA, where he leads the Spectral Imaging project. He is also an Adjunct Associate Professor at the Australian National University and Conjoint Senior Lecturer at the University of New South Wales, Australia.
Dr. Cong Phuoc Huynh is a Researcher at NICTA, and an Adjunct Research Fellow at the Australian National University, Australia.
Bibliographic Information
Book Title: Imaging Spectroscopy for Scene Analysis
Authors: Antonio Robles-Kelly, Cong Phuoc Huynh
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-4652-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2013
Hardcover ISBN: 978-1-4471-4651-3Published: 31 October 2012
Softcover ISBN: 978-1-4471-5838-7Published: 09 November 2014
eBook ISBN: 978-1-4471-4652-0Published: 30 October 2012
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XVIII, 270
Topics: Pattern Recognition, Image Processing and Computer Vision