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3D Imaging—Multidimensional Signal Processing and Deep Learning: 3D Images, Graphics and Information Technologies, Volume 1 de Lakhmi C. Jain

3D Imaging—Multidimensional Signal Processing and Deep Learning: 3D Images, Graphics and Information Technologies, Volume 1: Smart Innovation, Systems and Technologies, cartea 297

Editat de Lakhmi C. Jain, Roumen Kountchev, Yonghang Tai, Roumiana Kountcheva
en Limba Engleză Hardback – 2 iul 2022
This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers devoted to the theoretical representation and analysis of the 3D images. The related topics included are 3D image transformation, 3D tensor image representation, 3D content generation technologies, 3D graphic information processing, VR content generation technologies, multi-dimensional image processing, dynamic and auxiliary 3D displays, VR/AR/MR device, VR camera technologies, 3D imaging technologies and applications, 3D computer vision,3D video communications, 3D medical images processing and analysis, 3D remote sensing images and systems, deep learning for image restoration and recognition, neural networks for MD image processing, etc.
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Specificații

ISBN-13: 9789811924477
ISBN-10: 9811924473
Pagini: 260
Ilustrații: XIII, 260 p. 132 illus., 75 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.56 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Smart Innovation, Systems and Technologies

Locul publicării:Singapore, Singapore

Cuprins

Color Restoration of RGB-NIR Images in Low-light Environment Using CycleGAN.- A Novel Space Division Rough Set Model for Feature Selection.- Development of Mobile Food Recognition System Based on Deep Convolutional Network.- Image-Based Physics Rendering for 3D Surface Reconstruction: A Survey.- Network Intrusion Detection Based on Apriori-Kmeans Algorithm.- Global Analysis of Discrete S-I-R Models and S-I-S Systems.- Overview of SAR Image Change Detection Based on Segmentation.- Water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural Network.- Full-Focus Imaging Detection of Ship Ultrasonic Phased Array Based on Directivity Function.- Longitudinal Structure Analysis and Segmentation Algorithm of Dongba Document.- Image Recognition Methods Based on Deep Learning.- Insulator Detection Study Based on Improved Faster-RCNN.- Comparative Analysis of Automatic Poetry Generation Systems Based on Different Recurrent Neural Networks.- Grid False Data IntrusionDetection Method Based on Edge Computing and Federated Learning.- Research on the Simulation of Informationized Psychological Sand Table Based on 3D Scene.- Innovative Design of Traditional Arts and Crafts Based on 3D Digital Technology.- Citrus Positioning Method Based On Camera And Lidar Data Fusion.- Research on Graphic Design of Digital Media Art based on Computer Aided Algorithm.- Ore Detection Method Based on YOLOv4.

Notă biografică

Lakhmi C. Jain, PhD, Dr H.C., ME, BE(Hons), Fellow (Engineers Australia), is with the Liverpool Hope University and the University of Arad. He was formerly with the University of Technology Sydney, the University of Canberra and Bournemouth University.
Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generate synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.
His interests focus on the artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents.
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 400 papers published in magazines and conference proceedings; 20 books; 48 book chapters; 20 patents. He had been the principle investigator of 52 research projects. 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). Editor in chief of Intern. Journal of Image Processing and Vision Science. 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; Intern. Journal of Bio-Medical Informatics and e-Health. 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. 
In 2009-2012, Dr. 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 4 Fund projects including Deakin University Postgraduate Research Full Scholarship, Yunnan Education Commission, Yunnan Natural Science Foundation, Yunnan Education Commission. He has published more than 30 papers, 5 of which has 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, Medical image processing.  
Roumiana Kountcheva got her M.Sc. and PhD 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 180 publications, among which: 34 journal papers, 21 book chapters, and 5 patents. She was the PI and Co-PI of 48 scientific research projects. R. Kountcheva was the plenary speaker at 16 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 a Honorary Member  of the Honorable Editorial Board of the nonprofit peer reviewed open access IJBST Journal Group.

Textul de pe ultima copertă

This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers devoted to the theoretical representation and analysis of the 3D images. The related topics included are 3D image transformation, 3D tensor image representation, 3D content generation technologies, 3D graphic information processing, VR content generation technologies, multi-dimensional image processing, dynamic and auxiliary 3D displays, VR/AR/MR device, VR camera technologies, 3D imaging technologies and applications, 3D computer vision,3D video communications, 3D medical images processing and analysis, 3D remote sensing images and systems, deep learning for image restoration and recognition, neural networks for MD image processing, etc.

Caracteristici

Presents research works in the field of 3D imaging technologies Gather the outcomes of the 3DIT-MSP&DL2021, held in Kunming, China Offers a reference guide for researchers and practitioners in academia and industry