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3D Imaging Technologies-Multidimensional Signal Processing and Deep Learning

Name: 3D Imaging Technologies-Multidimensional Signal Processing and Deep Learning
Brand: Springer Verlag, Singapore
SKU: 36324707
Price: 229.45 EUR
Availability: InStock
Author: Roumen Kountchev
ISBN: 9789811631795

Methods, Algorithms and Applications, Volume 2

Roumen Kountchev

Yonghang Tai

Língua

Inglês

Livro Livro de capa dura

Código Libristo: 36324707

Editoras Springer Verlag, Singapore, agosto 2021

This book presents high-quality research in the field of 3D imaging technology. The second edition o... Descrição completa

Código Libristo: 36324707

555 b

229.45 €

Armazenamento externo Envio em 10-13 dias

Política de devolução de 30 dias

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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.