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Computer Vision – ACCV 2022 -

Computer Vision – ACCV 2022

16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part V
Buch | Softcover
XXII, 528 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-26347-7 (ISBN)
CHF 209,70 inkl. MwSt
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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 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.

Recognition: feature detection, indexing, matching, and shape representation.- datasets and performance analysis.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XXII, 528 p. 171 illus., 160 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 836 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • Computer Networks • Computer Science • Computer systems • computer vision • conference proceedings • Databases • Education • Image Analysis • image enhancement • Image Processing • Image Quality • image reconstruction • Image Segmentation • Informatics • Information Retrieval • learning • machine learning • Mathematics • pattern recognition • Research • Signal Processing
ISBN-10 3-031-26347-2 / 3031263472
ISBN-13 978-3-031-26347-7 / 9783031263477
Zustand Neuware
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