An Improved Local Binary Descriptor Based Polar Gridding for Rotation Change
Rotation change is widespread in many computer vision applications. Robustness in rotation is an important evaluation for local descriptor. This paper proposes a fast and rotation-robust local binary descriptor using polar location, called rotation-invari
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ommunications in Computer and Information Science
Urban Intelligence and Applications Second International Conference, ICUIA 2020 Taiyuan, China, August 14–16, 2020 Revised Selected Papers
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Communications in Computer and Information Science Editorial Board Members Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Ashish Ghosh Indian Statistical Institute, Kolkata, India Raquel Oliveira Prates Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil Lizhu Zhou Tsinghua University, Beijing, China
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More information about this series at http://www.springer.com/series/7899
Xiaohui Yuan Mohamed Elhoseny Jianfang Shi (Eds.) •
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Urban Intelligence and Applications Second International Conference, ICUIA 2020 Taiyuan, China, August 14–16, 2020 Revised Selected Papers
123
Editors Xiaohui Yuan University of North Texas Denton, TX, USA
Mohamed Elhoseny Mansoura University Mansoura, Egypt
Jianfang Shi Taiyuan University of Technology Taiyuan, China
ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-981-33-4600-0 ISBN 978-981-33-4601-7 (eBook) https://doi.org/10.1007/978-981-33-4601-7 © Springer Nature Singapore Pte Ltd. 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 Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
The proceedings include papers presented at the International Conference on Urban Intelligence and Applications (ICUIA) held in Taiyuan, China, during August 14–16, 2020. This conference series provided an international forum to present, discuss, and exchange innovative ideas and recent developments in the fields of computer science, computational geography, and management. The proceedings provide new ad
