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230403 ||| eng |
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|a 9783031263484
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|a Wang, Lei
|e [editor]
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|a Computer Vision – ACCV 2022
|h Elektronische Ressource
|b 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part V
|c edited by Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Cham
|b Springer Nature Switzerland
|c 2023, 2023
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| 300 |
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|a XXII, 528 p. 171 illus., 160 illus. in color
|b online resource
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| 653 |
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|a Computer Communication Networks
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| 653 |
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|a Machine learning
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| 653 |
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|a Education / Data processing
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| 653 |
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|a Machine Learning
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| 653 |
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|a Computer vision
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| 653 |
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|a Computer Vision
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| 653 |
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|a Computers and Education
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| 653 |
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|a Computer networks
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| 653 |
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|a Computer Application in Administrative Data Processing
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| 653 |
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|a Information technology / Management
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| 653 |
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|a Automated Pattern Recognition
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| 653 |
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|a Pattern recognition systems
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| 700 |
1 |
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|a Gall, Juergen
|e [editor]
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| 700 |
1 |
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|a Chin, Tat-Jun
|e [editor]
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| 700 |
1 |
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|a Sato, Imari
|e [editor]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Lecture Notes in Computer Science
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| 028 |
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|a 10.1007/978-3-031-26348-4
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| 856 |
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|u https://doi.org/10.1007/978-3-031-26348-4?nosfx=y
|x Verlag
|3 Volltext
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|a 006.37
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| 520 |
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|a 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
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