3D Imaging Technologies-Multi-dimensional Signal Processing and Deep Learning | Mathematical Approaches and Applications, Volume 1
Idioma: inglés
Editorial: Springer, 2022
Serie: Libro 218 de 235 - Smart Innovation, Systems and Technologies
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3D Imaging Technologies-Multi-dimensional Signal Processing and Deep Learning | Mathematical Approaches and Applications, Volume 1 | Lakhmi C. Jain (u. a.) | Taschenbuch | xii | Englisch | 2022 | Springer | EAN 9789811633935 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de ref. del artículo 124267396
- Título
- 3D Imaging Technologies-Multi-dimensional Signal Processing and Deep Learning | Mathematical Approaches and Applications, Volume 1
- Autor
- Lakhmi C. Jain (u. a.)
- Editorial
- Springer
- Año de publicación
- 2022
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 9811633932
- ISBN 13
- 9789811633935
- Peso del artículo
- 546 gramos
- Dimensiones
- 235 x 155 x 20 mm
- Serie
- Libro 218 de 235: Smart Innovation, Systems and Technologies
- Catálogos de vendedores
- Bücher
This book presents high-quality research in the field of 3D imaging technology. The second edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first 3DIT conference (IC3DIT2019) 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 2 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, 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.
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Acerca del autor
Lakhmi C. Jain, B.E.(Hons), M.E., Ph.D., Fellow (Engineers Australia), served as Visiting Professor in Bournemouth University, UK, until July 2018 and presently serving the University of Canberra, Australia and University of Technology Sydney, Australia. Dr. 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 worldwide, KES facilitates international cooperation and generates 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.
Prof. Roumen Kountchev, Ph.D., D.Sc., Technical University of Sofia, Bulgaria. His scientific areas of interest are digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognitionand neural networks. Prof. Kountchev has 341 papers published in magazines and conference proceedings (71 international); 15 books; 46 book chapters; 20 patents (3 international). He had been Principle Investigator of 38 research projects (6 international). He is Member of Euro Mediterranean Academy of Arts and Sciences (EMAAS) and President of Bulgarian Association for Pattern Recognition (Member of Intern. Association for Pattern Recognition); Editorial Board Member of IJBST Journal Group; Member of International Research Institute for Economics and Management (IRIEM), Member of Institute of Data Science and Artificial Intelligence (IDSAI), Member of the Honorable Editorial Board of the nonprofit peer-reviewed open access IJBST Journal Group. 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.
Prof. Junsheng Shi is Professor at the School of Physics and Electronic Information, Yunnan Normal University, Kunming, China and also Member of China Illuminating Engineering Society-Image Technology Specialized Committee. Since 2001, he has completed his Ph.D. in School of Optics and Photonics, Beijing Institute of Technology. He is In Charge of Yunnan Province key disciplines "Optical Engineering" and Leader for Technology innovation team in color and optical imaging technology of colleges and universities in Yunnan. He is Member of the Professional Committee of China Optical Technology Optical Society, Chinese Society of Image and Graphics Technical Committee stereoscopic image, foreign journals "Optical Engineering", "Journal of Display Technology" and the present domestic main disciplines journal "Acta Optica Sinica", "Chinese Optics Letters", "Acta Photonica Sinica" and other reviewers. In 2004 and 2008, respectively, he got awards of scientific and technological progress and natural science in Yunnan Province. Three projects of the National Natural Science Fund and two projects of the Yunnan Natural Science Fund have been completed. In past five years, the two major projects in Yunnan Province Department of Education were presided over, more than 50 papers have been published, fifteen invention patents have been applied for, and authorized two. His research interests include color appearance models, the color management systems, characteristics of the human visual system and application for color imaging and digital image processing.
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