Overview

This book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first three editions of the conference to provide a wide scientific forum for researchers, academia, and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in two volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, andmany related areas. The first volume contains papers in 3D image processing, transforms, and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.

Full Product Details

Author:   Srikanta Patnaik ,  Roumen Kountchev ,  Yonghang Tai ,  Roumiana Kountcheva
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2023
Volume:   349
Weight:   0.698kg
ISBN:  

9789819912292

ISBN 10:   9819912296
Pages:   302
Publication Date:   03 May 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

A Review of Temporal Network Analysis and Applications.- A Knowledge Representation Method for Hierarchical Diagnosis Decision-making Under Uncertain Conditions.- Research and Implementation of Hybrid Storage Method for Multi-Source Heterogeneous Data of Electric Distribution Network.- Research on Measuring Method of Ball Indentation Based on MATLAB Image Edge Detection.- Multi-Feature Extraction of Mineral Zoning of Tabling Through Deep Semantic Segmentation.- Research on Mass Image Data Storage Method for Data Center.- Research on Virtual and Real Spatial Data Interconnection Mapping Technology for Digital Twin.- Prediction of Breast Cancer Via Deep Learning.- Scheme Design of Network Neighbor Discovery Algorithm Based on the Combination of Directional Antenna and Multi-Channel Parallelism.- Ship Target Detection  in Remote Sensing Image Based on Improved RetinaNet.- Research on the Application of 3D Modeling Technology in Mechanical Structure Teaching.- 2D Numerical Model Usedto Investigate the Influence of Vegetation on Geomorphological Evolution of Mudflats.- Design and Experimental Verification of High Functional Density Cubesat System.- Space Design of Exhibition Hall Based on Virtual Reality.- Identification of Expressway Traffic States Based on the Enhanced FCM Algorithm.- Algorithms Applied in Soft Tissue Deformation Simulation: a Survey.- Soft Tissue Cutting Based on Position Dynamics.- Research on Application Technology of Multi-Source Fusion of 3D Digital Resources in Power Grid.

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Author Information

Srikanta Patnaik has supervised more than 30 Ph.D. Theses and 100 Master theses in the area of Computational Intelligence, Machine Learning, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is the author of 3 text books and edited more than 100 books and few invited book chapters, published by leading international publishers like IEEE, Elsevier, Springer-Verlag, Kluwer Academic, IOS Press and SPIE. Dr. Srikanta Patnaik is the Editors–in–Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and, Editor of Journal of Information and Communication Convergence Engineering and Associate Editor of Journal of Intelligent and Fuzzy Systems (JIFS). He is also Editors–in–Chief of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany. Prof. Patnaik is awarded with MHRD Fellowship by the Government of India, for the year 1996. He is nominated for MARQUIS Who’s Who for the year 2004 and nominated as International Educator of the Year 2005 by International Biographical Centre, Great Britain. He has been awarded with the certificate of merit from The Institute of Engineers (India) for the year 2004-05. He is also Fellow of IETE, Life Member of ISTE, and CSI. Dr. Patnaik has visited various countries such as Japan, China, Hong Kong, Singapore, Indonesia, Iran, Malaysia, Philippines, South Korea, United Arab Emirates, Morocco, Algeria, Thailand and Vietnam for delivering Key note addresses at various conferences and symposiums. Roumen Kountchev, Ph.D., D.Sc. is a professor at the Faculty of Telecommunications, Department of Radio Communications and Video Technologies at the Technical University of Sofia, Bulgaria. His scientific areas of interest are digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition, and neural networks. Prof. Kountchev has more than 450 papers published in magazines and conference proceedings; 20 books; 48 book chapters; 20 patents. At present, he is a member of Euro Mediterranean Academy of Arts and Sciences and the president of the Bulgarian Association for Pattern Recognition (member of IAPR). He is an editor-in-chief of Intern. Journal of Image Processing and Vision Science; he is an editorial board member of: Intern. Journal of Reasoning-based Intelligent Systems; Intern. Journal Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science Journal; Intern. Journal of Bio-Medical Informatics and e-Health, and Intern. Journal Intelligent Decision Technologies; and he is a member of Institute of Data Science and Artificial Intelligence and Intern. Engineering and Technology Institute. He has been a plenary speaker at more than 30 international scientific conferences and symposia and edited several books published in Springer SIST series. Yonghang Tai studied in Yunnan Normal University and got his bachelor’s degree. He received his Ph. D. on Computer Science from Deakin University, Melbourne, Australia. He has hosted four fund projects including Deakin University Postgraduate Research Full Scholarship, Yunnan Education Commission, Yunnan Natural Science Foundation, and Yunnan Education Commission. He has published more than 30 papers, 5 of which have been indexed by SCI. He is the co-editor of International Journal of Telemedicine and Clinical Practices and Machine Learning and Data Analytics. His research interests include VR/AR/MR in surgical simulation, physic-based rendering, and medical image processing. Roumiana Koutcheva got her M.Sc. and Ph.D. at the Technical University of Sofia, Bulgaria, and in 1992, she got the title Senior Researcher. At present, she is the vice-president of TK Engineering, Sofia. She had postgraduate trainings in Fujitsu and Fanuc, Japan. Her main scientific interests are in image processing, image compression, digital watermarking, pattern recognition, image tensor representation, neural networks, CNC, and programmable controllers. She has more than 200 publications and 5 patents. R. Kountcheva was the plenary speaker at 23 international scientific conferences and scientific events. She edited several books published in Springer SIST series and is a member of international organizations: Bulgarian Association for Pattern Recognition, International Research Institute for Economics and Management (IRIEM), the Institute of Data Science and Artificial Intelligence (IDSAI)  and is an honorary member  of the Honorable Editorial Board of the nonprofit peer-reviewed open-access IJBST Journal Group.

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