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Titlebook: 3D Imaging—Multidimensional Signal Processing and Deep Learning; Multidimensional Sig Srikanta Patnaik,Roumen Kountchev,Roumiana Kountch Co

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發(fā)表于 2025-3-21 19:57:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱3D Imaging—Multidimensional Signal Processing and Deep Learning
期刊簡稱Multidimensional Sig
影響因子2023Srikanta Patnaik,Roumen Kountchev,Roumiana Kountch
視頻videohttp://file.papertrans.cn/101/100734/100734.mp4
發(fā)行地址Presents high-quality research in the field of 3D imaging technology.Features the outcomes of 3DDIT 2022, held in Kunming, China during November 2022.Serves as a reference resource for researchers and
學(xué)科分類Smart Innovation, Systems and Technologies
圖書封面Titlebook: 3D Imaging—Multidimensional Signal Processing and Deep Learning; Multidimensional Sig Srikanta Patnaik,Roumen Kountchev,Roumiana Kountch Co
影響因子This book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL)?continues the good traditions already established by the first three 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 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
Pindex Conference proceedings 2023
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發(fā)表于 2025-3-21 20:59:09 | 只看該作者
Daniele Micciancio,Jessica Sorrelln this paper is to first train on the public dataset DRIVE to obtain the U-Net model. Secondly, the model is applied to private databases to segment fundus vascular images. Finally, deep learning metrics are evaluated on the U-Net model and test results. The experiment results demonstrate the effectiveness of U-Net on vessel segmentation tasks.
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發(fā)表于 2025-3-22 00:33:33 | 只看該作者
Advances in Cryptology – ASIACRYPT 2020s interactive question–answering system and intelligent scene-specific foods safety standards training and implementation evaluation platform with regard to different subjects, realizing the diversified training on foods safety standards.
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發(fā)表于 2025-3-22 05:24:46 | 只看該作者
https://doi.org/10.1007/978-981-99-1145-53D Image Representation; 3D Image Technology; 3D Images and Graphics; Computing and 3D Information Tech
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Advances in Cryptology – ASIACRYPT 2019the intelligent cockpit has been greatly improved. In order to ensure the safety of the driver and passengers, the safety test of the intelligent cockpit requires a quantitative test of the driver‘s line of sight ability. In this paper, a bionic head vision tracking method for intelligent cockpit is
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