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Record Nr. |
UNINA9910674355803321 |
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Titolo |
Computer Vision – ACCV 2022 : 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part II / / 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 (683 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13842 |
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Disciplina |
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Soggetti |
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Computer vision |
Information storage and retrieval systems |
Social sciences - Data processing |
Computer networks |
Machine learning |
Image processing - Digital techniques |
Computer Vision |
Information Storage and Retrieval |
Computer Application in Social and Behavioral Sciences |
Computer Communication Networks |
Machine Learning |
Computer Imaging, Vision, Pattern Recognition and Graphics |
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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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