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Titlebook: 3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning; Mathematical Approac Lakhmi C. Jain,Roumen Kountchev,Junshen

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發(fā)表于 2025-3-21 16:53:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning
期刊簡稱Mathematical Approac
影響因子2023Lakhmi C. Jain,Roumen Kountchev,Junsheng Shi
視頻videohttp://file.papertrans.cn/101/100725/100725.mp4
發(fā)行地址Presents high-quality research in the field of 3D imaging technology.Features the outcomes of 3DDIT 2020, held in Kunming, China.Serves as a reference resource for researchers and practitioners in aca
學(xué)科分類Smart Innovation, Systems and Technologies
圖書封面Titlebook: 3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning; Mathematical Approac Lakhmi C. Jain,Roumen Kountchev,Junshen
影響因子.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
Pindex Conference proceedings 2021
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書目名稱3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning影響因子(影響力)




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Smart Innovation, Systems and Technologieshttp://image.papertrans.cn/012/image/100725.jpg
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Mariano P. Consens,Ricardo Baeza-Yatesal reflectance information is a key issue currently facing. In order to solve the problem of pixel shift between channels in the band-pass filter spectral imaging system and reduce the complexity of multispectral image acquisition, a spectral reconstruction algorithm based on camera response expansi
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https://doi.org/10.1007/11596370hem, the use of deep learning algorithms to decode physiological, psychological, or pathological states from electroencephalogram (EEG) signals is also attracting more and more attention. This paper reviews the applications of deep learning algorithms in motor imagery (MI) EEG in recent years and in
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Active Learning with Bagging for NLP Tasks, important data source in change detection. SAR image change detection has been widely used in urban construction, disaster assessment, crop growth, environmental monitoring, and so on. In this paper, the process of SAR change detection is introduced first. Then we introduce the generation of the tr
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Fast Fingerprint Image Alignment,the transform domain. First, this paper describes the formation mechanism of coherent speckle noise and the basic methods of suppressing coherent speckle. Then, the denoising algorithms based on wavelet transform and multi-scale analysis are introduced, respectively. The representative algorithms ar
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