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Lakhmi C. Jain (editor) - 3D Imaging Technologies — Multi-dimensional Signal Processing and Deep Learning, Volume 1: Mathematical Approaches and Applications

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Lakhmi C. Jain (editor) 3D Imaging Technologies — Multi-dimensional Signal Processing and Deep Learning, Volume 1: Mathematical Approaches and Applications

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Book cover of 3D Imaging TechnologiesMulti-dimensional Signal Processing and - photo 1
Book cover of 3D Imaging TechnologiesMulti-dimensional Signal Processing and Deep Learning
Volume 234
Smart Innovation, Systems and Technologies
Series Editors
Robert J. Howlett
Bournemouth University and KES International, Shoreham-by-Sea, UK
Lakhmi C. Jain
KES International, Shoreham-by-Sea, UK

The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought.

The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions.

High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles.

Indexed by SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, Japanese Science and Technology Agency (JST), SCImago, DBLP.

All books published in the series are submitted for consideration in Web of Science.

More information about this series at http://www.springer.com/series/8767

Editors
Lakhmi C. Jain , Roumen Kountchev and Junsheng Shi
3D Imaging TechnologiesMulti-dimensional Signal Processing and Deep Learning
Mathematical Approaches and Applications, Volume 1
1st ed. 2021
Logo of the publisher Editors Lakhmi C Jain KES International - photo 2
Logo of the publisher
Editors
Lakhmi C. Jain
KES International, Shoreham-by-Sea, UK
Roumen Kountchev
Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria
Junsheng Shi
Department of Electro-Optical Engineering, Yunnan Normal University, Kunming, Yunnan, China
ISSN 2190-3018 e-ISSN 2190-3026
Smart Innovation, Systems and Technologies
ISBN 978-981-16-3390-4 e-ISBN 978-981-16-3391-1
https://doi.org/10.1007/978-981-16-3391-1
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
This work is subject to copyright. All rights are solely and exclusively licensed 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

This book contains the papers presented at the 2nd International Conference on 3D Imaging TechnologiesMultidimensional Signal Processing and Deep Learning (3DIT-MSP&DL) which was carried out on December 1113, 2020, at the Yunnan Normal University, Kunming, China. The papers are aimed at the contemporary areas of the 3D image representation, 3D image technology, 3D image and graphics, multidimensional signal, image, and video processing and coding and the related mathematical approaches and applications. The advance of the contemporary computer systems for processing, analysis, and recognition of patterns and situations opens new abilities, beneficial to practice. As a result, a synergic combination of innovative theoretical investigations, approaches, and applications is achieved.

The book, 3D Imaging TechnologiesMulti-dimensional Signal Processing and Deep Learning (3DIT-MSP&DL), comprises two volumes:
  • Mathematical Approaches and Applications (Volume 1);

  • Methods, Algorithms and Applications (Volume 2).

The main topics of the chapters in Volume 1 are:

Defect Detection of Injection Parts; Thresholding Method for the Sonar Image of a Seabed Target; Noise Reduction in Sonar Images of Seabed Targets; Balance the Robustness and Invisibility of Digital Watermarking; Progress of Electrical Resistance Tomography; Low-Resolution Image Matching and Recognition Algorithm; Realistic Representation Technology in Virtual Environment; Intelligent Customer Service Operation Management System; Car Seat Comfort Evaluation System; Building Extraction from High-Resolution Remote Sensing Image; Image Classification Algorithms; Improved Method of Non-local Means Denoising; Short-Term Traffic Volume Prediction; Biological Particle Recognition; Low-Cost 6D Controller with Smooth Tracking for Mobile AR; Clinical Decision-Making System for COVID-19; License Plate Recognition System; Landscape Pattern Variation in the Lower Tarim River; Implementation of Stereoscopic Visualization of Medical Images; Optical Design of Human Blood Fluorescence Scanning System; Rendering of 3D Models; Classification Method Active Pulmonary Tuberculosis; Road Defect Recognition; Temperature Measurement of Human Head; Method for Unmanned Aerial Vehicle Visual Apron; Unattended AI Inspection Collaborative Management Platform; and Visual Autopilot Decision System.

The aim of the book is to present the latest achievements of the authors to a wide range of readers: IT specialists, engineers, physicians, Ph.D. students, and other specialists.

Acknowledgments

The book editors express their special thanks to book chapter reviewers for their efforts and good will to help for the successful preparation of the book. Special thanks for Prof. Lakhmi Jain (Honorary Chair), Prof. Dr. Srikanta Patnaik and Prof. Dr. Junsheng Shi (General Chairs), and Dr. Yonghang Tai (Organizing Chair) of 3DIT-MSP&DL.

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