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Titlebook: Image Analysis; 22nd Scandinavian Co Rikke Gade,Michael Felsberg,Joni-Kristian K?m?r?in Conference proceedings 2023 The Editor(s) (if appli

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發(fā)表于 2025-3-21 17:17:23 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Image Analysis
副標題22nd Scandinavian Co
編輯Rikke Gade,Michael Felsberg,Joni-Kristian K?m?r?in
視頻videohttp://file.papertrans.cn/462/461344/461344.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image Analysis; 22nd Scandinavian Co Rikke Gade,Michael Felsberg,Joni-Kristian K?m?r?in Conference proceedings 2023 The Editor(s) (if appli
描述This two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in Lapland, Finland, in April 2023..The 67 revised papers presented were carefully reviewed and selected from 108 submissions. The contributions are structured in topical sections on datasets and evaluation; action and behaviour recognition; image and video processing, analysis, and understanding; detection, recognition, classification, and localization in 2D and/or 3D; machine learning and deep learning; segmentation, grouping, and shape; vision for robotics and autonomous vehicles; biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; vision applications and systems..
出版日期Conference proceedings 2023
關鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-3-031-31435-3
isbn_softcover978-3-031-31434-6
isbn_ebook978-3-031-31435-3Series 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Image Analysis影響因子(影響力)




書目名稱Image Analysis影響因子(影響力)學科排名




書目名稱Image Analysis網(wǎng)絡公開度




書目名稱Image Analysis網(wǎng)絡公開度學科排名




書目名稱Image Analysis被引頻次




書目名稱Image Analysis被引頻次學科排名




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書目名稱Image Analysis年度引用學科排名




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書目名稱Image Analysis讀者反饋學科排名




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發(fā)表于 2025-3-21 20:32:38 | 只看該作者
TBPos: Dataset for?Large-Scale Precision Visual Localizationnd truth poses: both the database images and the query images have been derived from the same laser scanner data. In the experimental part of the paper, the proposed dataset is evaluated by means of an image-based localization pipeline.
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BrackishMOT: The Brackish Multi-Object Tracking Datasetmework for creating synthetic sequences in order to expand the dataset. The framework consists of animated fish models and realistic underwater environments. We analyse the effects of including synthetic data during training and show that a combination of real and synthetic underwater training data can enhance tracking performance. . ..
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發(fā)表于 2025-3-22 15:22:49 | 只看該作者
Improved Sensitivity of No-Reference Image Visual Quality Metrics to the Presence of Noiseproposed by combining this metric with a noise level estimator. The proposed method allows to significantly decrease a probability of wrong quality predictions for noisy images. Efficiency of usage of different noise level estimators in the proposed combined metrics is analyzed.
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發(fā)表于 2025-3-22 19:32:54 | 只看該作者
Conference proceedings 2023ction, recognition, classification, and localization in 2D and/or 3D; machine learning and deep learning; segmentation, grouping, and shape; vision for robotics and autonomous vehicles; biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; vision applications and systems..
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Conference proceedings 2023Lapland, Finland, in April 2023..The 67 revised papers presented were carefully reviewed and selected from 108 submissions. The contributions are structured in topical sections on datasets and evaluation; action and behaviour recognition; image and video processing, analysis, and understanding; dete
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發(fā)表于 2025-3-23 06:45:44 | 只看該作者
chemical signals in their environments, or chemotaxis, can be clearly seen as a major force in cell biology. In .Chemotaxis: Methods and Protocols., expert researchers in the field provide state-of-the-art methods for investigating cell migration behaviors, studying molecular components involved in
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