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Record Nr. |
UNINA9910678243003321 |
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Titolo |
Computer Vision – ACCV 2022 : 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part IV / / edited by Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (781 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13844 |
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Disciplina |
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Soggetti |
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Computer vision |
Image processing - Digital techniques |
Machine learning |
Computer networks |
Application software |
Education - Data processing |
Computer Vision |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Machine Learning |
Computer Communication Networks |
Computer and Information Systems Applications |
Computers and Education |
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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 bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Face and gesture -- pose and action -- video analysis and event recognition -- vision and language -- biometrics. |
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Sommario/riassunto |
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The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; |
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optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods. |
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