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Record Nr. |
UNISA996466332803316 |
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Titolo |
Computer Vision – ACCV 2018 [[electronic resource] ] : 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part I / / 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, 722 p. 324 illus., 267 illus. in color.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 11361 |
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Disciplina |
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Soggetti |
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Optical data processing |
Artificial intelligence |
Computer organization |
Computer science—Mathematics |
Image Processing and Computer Vision |
Artificial Intelligence |
Computer Systems Organization and Communication Networks |
Mathematics of Computing |
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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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Note generali |
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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 |
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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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