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Record Nr. |
UNINA9910337847403321 |
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Titolo |
Computer Vision – ACCV 2018 : 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part III / / edited by C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XX, 736 p. 358 illus., 280 illus. in color.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 11363 |
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Disciplina |
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Soggetti |
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Computer vision |
Artificial intelligence |
Computer engineering |
Computer networks |
Application software |
Computer Vision |
Artificial Intelligence |
Computer Engineering and Networks |
Computer and Information Systems Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Motion and Tracking -- Stereo and Structure from Motion -- Segmentation and Grouping -- Image-Based Modeling -- Deep Learning for Vision -- Illumination and Reflectance Modeling -- Sensors & Early and Biologically-Inspired Vision -- Computational Photography and Video -- Object Recognition, Object Detection and Categorization -- Vision and Language -- Video Analysis and Event Recognition -- Face and Gesture Analysis -- Statistical Methods and Learning -- Performance Evaluation -- Medical Image Analysis -- Document Analysis Optimization Methods -- RGBD and Depth Camera Processing -- Robotic Vision Applications of Computer Vision. |
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Sommario/riassunto |
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The six volume set LNCS 11361-11366 constitutes the proceedings of the 14th Asian Conference on Computer Vision, ACCV 2018, held in Perth, Australia, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition, object detection and categorization, vision and language, video analysis and event recognition, face and gesture analysis, statistical methods and learning, performance evaluation, medical image analysis, document analysis, optimization methods, RGBD and depth camera processing, robotic vision, applications of computer vision. |
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