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Titlebook: Computer Vision Systems; 14th International C Henrik I. Christensen,Peter Corke,Markus Vincze Conference proceedings 2023 The Editor(s) (if

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發(fā)表于 2025-3-21 16:33:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer Vision Systems
副標(biāo)題14th International C
編輯Henrik I. Christensen,Peter Corke,Markus Vincze
視頻videohttp://file.papertrans.cn/235/234036/234036.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision Systems; 14th International C Henrik I. Christensen,Peter Corke,Markus Vincze Conference proceedings 2023 The Editor(s) (if
描述.This volume LNCS 14253 constitutes the refereed proceedings of the 14th International Conference, ICVS 2023, in Vienna, Austria, in September 2023..??..The 37 full papers presented were carefully reviewed and selected from 74 submissions.?The conference focuses on?Humans and Hands;?Medical and Health Care;?Farming and Forestry;?Automation and Manufacturing;?Mobile Robotics and Autonomous Systems;??and?Performance and Robustness..
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; computer hardware; computer systems; computer vision; Computer Vision Tasks; Com
版次1
doihttps://doi.org/10.1007/978-3-031-44137-0
isbn_softcover978-3-031-44136-3
isbn_ebook978-3-031-44137-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Computer Vision Systems影響因子(影響力)




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978-3-031-44136-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-030-67235-5es. The important attention given to the FER application is translated by the various architectures and datasets proposed to develop efficient automatic FER frameworks. This paper proposes a new, yet efficient appearance-based deep framework for dynamic FER referred to as Dedicated Encoding-streams
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The Deconfinement Transition of QCDf Daily Living (ADLs) without any conscious effort on the part of the user. This study explores the feasibility of using 2D hand and object pose information for egocentric action recognition. While current literature focuses on 3D hand pose information, our work shows that using 2D skeleton data is
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https://doi.org/10.1007/978-3-319-93617-8constrained environments while preserving visual privacy. Despite the presence of numerous WiFi-enabled devices around us, few expose CSI to users, resulting in a lack of sensing hardware options. Recently, variants of the Espressif ESP32 have emerged as potential low-cost, easy-to-deploy solutions
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Amparo Serrano-Pascual,Maria Jepsenring and hearing societies. In addition, the sign language in each country differs significantly, which obliges the creation of new data for each of them. This paper presents the Russian Sign Language (RSL) video dataset Slovo, produced using crowdsourcing platforms. The dataset contains 20,000 Full
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Amparo Serrano-Pascual,Maria Jepseng HR measurement into Driver Monitoring Systems (DMS), providing physiological measurements to help address long-existing road safety issues by minimising human error. In real-world driving scenarios, the HR must be measured using non-contact approaches that avoid distracting or restricting the driv
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