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Computer Vision – ACCV 2022 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part VII /

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...

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Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Wang, Lei (Editor), Gall, Juergen (Editor), Chin, Tat-Jun (Editor), Sato, Imari (Editor), Chellappa, Rama (Editor)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Izdaja:1st ed. 2023.
Serija:Lecture Notes in Computer Science, 13847
Teme:
Computer vision.
Image processing > Digital techniques.
Machine learning.
Computer networks .
Social sciences > Data processing.
Application software.
Computer Vision.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Machine Learning.
Computer Communication Networks.
Computer Application in Social and Behavioral Sciences.
Computer and Information Systems Applications.
Online dostop:https://doi.org/10.1007/978-3-031-26293-7
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Izvleček: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 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.
Fizični opis:1 online resource (XXII, 733 p. 276 illus.). 271 illus. in color.
ISBN:9783031262937
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-26293-7

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