Recent Progress in Shape from Polarization
Photometric cues play an important role in recovering per-pixel 3D information from images. Shape from shading and photometric stereo are popular photometric 3D reconstruction approaches, which rely on inversely analyzing an image formation model of the s
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Jean-Denis Durou Maurizio Falcone Yvain Quéau Silvia Tozza Editors
Advances in Photometric 3D-Reconstruction
Advances in Computer Vision and Pattern Recognition Founding Editor Sameer Singh, Rail Vision, Castle Donington, UK Series Editor Sing Bing Kang, Zillow, Inc., Seattle, WA, USA Advisory Editors Horst Bischof, Graz University of Technology, Graz, Austria Richard Bowden, University of Surrey, Guildford, Surrey, UK Sven Dickinson, University of Toronto, Toronto, ON, Canada Jiaya Jia, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Kyoung Mu Lee, Seoul National University, Seoul, Korea (Republic of) Yoichi Sato, University of Tokyo, Tokyo, Japan Bernt Schiele, Max Planck Institute for Informatics, Saarbrücken, Saarland, Germany Stan Sclaroff, Boston University, Boston, MA, USA
More information about this series at http://www.springer.com/series/4205
Jean-Denis Durou Maurizio Falcone Yvain Quéau Silvia Tozza •
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Advances in Photometric 3D-Reconstruction
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Editors Jean-Denis Durou IRIT, UMR CNRS 5505 University of Toulouse Toulouse, France Yvain Quéau GREYC Laboratory CNRS Caen, France
Maurizio Falcone Department of Mathematics Sapienza University of Rome Rome, Italy Silvia Tozza Department of Mathematics and Applications “Renato Caccioppoli” University of Naples Federico II Naples, Italy
ISSN 2191-6586 ISSN 2191-6594 (electronic) Advances in Computer Vision and Pattern Recognition ISBN 978-3-030-51865-3 ISBN 978-3-030-51866-0 (eBook) https://doi.org/10.1007/978-3-030-51866-0 © Springer Nature Switzerland AG 2020 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The Shape-from-X class of problems is related to the 3D-reconstruction o
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