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Computer Vision ACCV 2022: 16th Asian Conference on Computer Vision, Macao, China, December 48, 2022, Proceedings, Part I 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 669 pages, height x width: 235x155 mm, weight: 1044 g, 215 Illustrations, color; 8 Illustrations, black and white; XXII, 669 p. 223 illus., 215 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13841
  • Izdošanas datums: 04-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031263189
  • ISBN-13: 9783031263187
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Computer Vision ACCV 2022: 16th Asian Conference on Computer Vision, Macao, China, December 48, 2022, Proceedings, Part I 1st ed. 2023Palielināt
  • Formāts: Paperback / softback, 669 pages, height x width: 235x155 mm, weight: 1044 g, 215 Illustrations, color; 8 Illustrations, black and white; XXII, 669 p. 223 illus., 215 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13841
  • Izdošanas datums: 04-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031263189
  • ISBN-13: 9783031263187
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031263187.html
Keywords:
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.
3D computer vision.- optimization methods.