Imaging Spectroscopy for Scene Analysis
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 com
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Antonio Robles-Kelly r Cong Phuoc Huynh
Imaging Spectroscopy for Scene Analysis
Antonio Robles-Kelly National ICT Australia Canberra, ACT Australia
Cong Phuoc Huynh National ICT Australia Canberra, ACT Australia
Series Editors Prof. Sameer Singh Research School of Informatics Loughborough University Loughborough UK
Dr. Sing Bing Kang Microsoft Research Microsoft Corporation Redmond, WA USA
ISSN 2191-6586 ISSN 2191-6594 (electronic) Advances in Computer Vision and Pattern Recognition ISBN 978-1-4471-4651-3 ISBN 978-1-4471-4652-0 (eBook) DOI 10.1007/978-1-4471-4652-0 Springer London Heidelberg New York Dordrecht Library of Congress Control Number: 2012951401 © Springer-Verlag London 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To my wife, for her love and help over the years. To my children, for the joy they brought into my life. And to my parents and sisters, for their continuous and unconditional support. Antonio Robles-Kelly To my parents and brother, for their endless love and continuing support. Cong Phuoc Huynh
Foreword
Current Computer Vision systems, developed to solve many and varied problems in scene understanding and object recognition, typically use the three colour channels designed t
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