Shape Reconstruction from Apparent Contours Theory and Algorithms
Motivated by a variational model concerning the depth of the objects in a picture and the problem of hidden and illusory contours, this book investigates one of the central problems of computer vision: the topological and algorithmic reconstruction
- PDF / 8,995,227 Bytes
- 385 Pages / 439.43 x 683.15 pts Page_size
- 85 Downloads / 168 Views
44
Giovanni Bellettini · Valentina Beorchia Maurizio Paolini · Franco Pasquarelli
Shape Reconstruction from Apparent Contours Theory and Algorithms
Computational Imaging and Vision
Computational Imaging and Vision Managing Editor MAX VIERGEVER Utrecht University, Utrecht, The Netherlands Series Editors GUNILLA BORGEFORS, Centre for Image Analysis, SLU, Uppsala, Sweden DANIEL CREMERS, Technische Universität München, München, Germany RACHID DERICHE, INRIA, Sophia Antipolis, France KATSUSHI IKEUCHI, Tokyo University, Tokyo, Japan REINHARD KLETTE, University of Auckland, Auckland, New Zealand ALES LEONARDIS, ViCoS, University of Ljubljana, Ljubljana, Slovenia STAN Z. LI, CASIA, Beijing & CIOTC, Wuxi, China DIMITRIS N. METAXAS, Rutgers University, New Brunswick, NJ, USA HEINZ-OTTO PEITGEN, CeVis, Bremen, Germany JOHN K. TSOTSOS, York University, Toronto, Canada This comprehensive book series embraces state-of-the-art expository works and advanced research monographs on any aspect of this interdisciplinary field.
Topics covered by the series fall in the following four main categories: • • • •
Imaging Systems and Image Processing Computer Vision and Image Understanding Visualization Applications of Imaging Technologies
Only monographs or multi-authored books that have a distinct subject area, that is where each chapter has been invited in order to fulfill this purpose, will be considered for the series.
Volume 44 More information about this series at http://www.springer.com/series/5754
Giovanni Bellettini • Valentina Beorchia • Maurizio Paolini • Franco Pasquarelli
Shape Reconstruction from Apparent Contours Theory and Algorithms
123
Giovanni Bellettini Department of Mathematics University of Rome Tor Vergata Rome Italy
Valentina Beorchia University of Trieste Department of Mathematics & Geosciences Trieste Italy
Maurizio Paolini Università Cattolica del Sacro Cuore Department of Mathematics & Physics Brescia Italy
Franco Pasquarelli Università Cattolica del Sacro Cuore Department of Mathematics & Physics Brescia Italy
ISSN 1381-6446 Computational Imaging and Vision ISBN 978-3-662-45190-8 ISBN 978-3-662-45191-5 (eBook) DOI 10.1007/978-3-662-45191-5 Library of Congress Control Number: 2015933011 Springer Heidelberg New York Dordrecht London © Springer-Verlag Berlin Heidelberg 2015 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 gene
Data Loading...
