Intelligent 3D Technologies and Augmented Reality
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Intelligent 3D Technologies and Augmented Reality: Proceedings of the Fifth International Conference on 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning, Volume 2(401 Smart Innovation, Systems and Technologies)

Intelligent 3D Technologies and Augmented Reality: Proceedings of the Fifth International Conference on 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning, Volume 2(401 Smart Innovation, Systems and Technologies)


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About the Book

This book presents high-quality research in the field of 3D imaging technology. The fifth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first four 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 such 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, and many 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.  

Table of Contents:
1. Virtual reality image generation and enhancement based on real-time model simplification.- 2. Deep Landscape Design Evaluation System with Multi-scale Visual Attention Mechanism.- 3. The Role and Effect of Deep Learning in Landscape Design Innovation.- 4. Application of 3D Image Technology and Deep Learning in Landscape Design.- 5. The Influence of University Yoga Course Based on VR Technology on university students' Physical Fitness and Special Sports Skills.- 6. Enhancing Mobile Robot Path Planning through Advanced Deep Reinforcement Learning.- 7. Innovative Application of VR Technology in Ceramic Art Design Exhibition.- 8. Deep Learning-based Species Classification using Joint ResNet and Data Augmentation.- 9. Simulation and Application of Digital Display Model Based on Computer Vision and Virtual Reality.- 10. Chinese Image Description Generation Model Based on Recurrent Fusion Encoding.

About the Author :
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 450 papers published in magazines and conference proceedings; 20 books; 48 book chapters; and 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 has been a plenary speaker at more than 30 international scientific conferences and symposia and edited several books published in Springer SIST series and was a co-editor of Special Issues for Symmetry MDPI. Prof. Srikanta Patnaik is presently working as director of Interscience Institute of Management & Technology, Bhubaneswar, India. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999. He has  supervised 32 Ph. D. Theses and more than 60 Master theses in the area of Computational Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is author of 3 text books and more than 100 edited volumes and few invited book chapters, published by leading international publisher like IEEE, ACM, Elsevier, Springer-Verlag, Kluwer Academic, SPIE, IOS Press and others. Dr. Patnaik is the Editor-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published by Inderscience Publishing House, England and also Editor-in-chief of Book Series on “Modeling and Optimization in Science and Technology” published by Springer, Germany. He is the Editor of Journal of Information and Communication Convergence Engineering, published by Korean Institute of Information and Communication Convergence Engineering. Prof. Patnaik is a Guest Professor to Hunan University of Finance and Economics, Changsha and Kunming University of Science and Technology, Kunming, China and visiting professors to some of the B-Schools  of Europe and South East Asia. He is a member of Institute of Electrical and Electronics Engineering (IEEE) and Association for Computing Machinery (ACM). 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.  Yingkai Liu is the dean of the Institute of Physics and Electronic Information at Yunnan Normal University. He obtained his M.S. degree in condensed matter physics from Yunnan University in 1998 and Ph.D. in condensed matter physics in 2002 from Nanjing University. He then did his postdoctoral research in the Center of Super-Diamond and Advanced Films (COSDAF) at City University of Hong Kong before joining Yunnan Normal University. He visited City University of Hong Kong from Sep. to Jun 2019 and Rice University from February to December 2018. His research interests include nanomaterial synthesis and characterization and nanodevice fabrication for photodetectors, gas sensors, environment, and biomedical applications. Up to now, he has published 78 articles in the world-famous journals such as Advanced Materials, Advanced Optical Materials, Sensors and Actuators B, Applied Physics Letters, and Nanomaterials, etc. His papers were cited 1800 times by other people. Roumiana Kountcheva 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 international patents (EU and USA). 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 co-editor of Special issues for Symmetry MDPI.


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Product Details
  • ISBN-13: 9789819751839
  • Publisher: Springer Verlag, Singapore
  • Publisher Imprint: Springer Nature
  • Height: 235 mm
  • No of Pages: 334
  • Series Title: 401 Smart Innovation, Systems and Technologies
  • Width: 155 mm
  • ISBN-10: 9819751837
  • Publisher Date: 03 Sep 2024
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Sub Title: Proceedings of the Fifth International Conference on 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning, Volume 2


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Intelligent 3D Technologies and Augmented Reality: Proceedings of the Fifth International Conference on 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning, Volume 2(401 Smart Innovation, Systems and Technologies)
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