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Record Nr. |
UNINA9910678260203321 |
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Titolo |
Computer Vision – ACCV 2022 : 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part I / / 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 (687 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13841 |
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Disciplina |
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Soggetti |
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Computer vision |
Computer graphics |
Image processing - Digital techniques |
Machine learning |
Social sciences - Data processing |
Database management |
Computer Vision |
Computer Graphics |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Machine Learning |
Computer Application in Social and Behavioral Sciences |
Database Management |
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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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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; optimization methods; Part II: applications of computer vision, vision |
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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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