Computer Vision – ACCV 2022: 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022,...

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Lei Wang Juergen Gall

Computer Vision – ACCV 2022

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

Lei Wang, Juergen Gall, Tat-Jun Chin , Imari Sato

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English

Springer International Publishing AG
04 March 2023

Business applications; Graphics programming; Machine learning; Computer vision; Image processing

Series: Lecture Notes in Computer Science

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.

Edited by: Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2023
Volume: 13841
Dimensions: Height: 235mm, Width: 155mm,
Weight: 1.044kg
ISBN: 9783031263187
ISBN 10: 3031263189
Series: Lecture Notes in Computer Science
Pages: 669
Publication Date: 04 March 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

3D computer vision.- optimization methods.