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Computer Vision – ACCV 2022

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

Lei Wang editor Tat-Jun Chin editor Rama Chellappa editor Juergen Gall editor Imari Sato editor

Format:Paperback

Publisher:Springer International Publishing AG

Published:11th Mar '23

Currently unavailable, and unfortunately no date known when it will be back

Computer Vision – ACCV 2022 cover

This extensive collection showcases the best research presented at the 16th Asian Conference on Computer Vision, ACCV 2022, highlighting key advancements in the field.

The 7-volume set of LNCS 13841-13847 presents the proceedings of the 16th Asian Conference on Computer Vision, known as ACCV 2022, which took place in Macao, China, in December 2022. This comprehensive collection includes a total of 277 contributions that were meticulously reviewed and selected from an impressive 836 submissions. The selection process involved two rigorous rounds of review and improvement, ensuring that only the highest quality research was included in this significant compilation.

The contributions in Computer Vision – ACCV 2022 cover a wide range of topics that reflect the current trends and advancements in the field. The first part focuses on 3D computer vision and optimization methods, while subsequent sections delve into applications of computer vision, computational photography, and low-level vision techniques. Each part offers insights into various aspects of the discipline, from face and gesture recognition to video analysis and event recognition, making it a valuable resource for researchers and practitioners alike.

In addition to traditional topics, the proceedings also explore contemporary issues such as deep learning for computer vision and generative models. The final sections address big data and large-scale methods, ensuring that Computer Vision – ACCV 2022 remains relevant in an ever-evolving technological landscape. This set serves as a vital reference for anyone interested in the latest developments and methodologies in computer vision.

ISBN: 9783031262920

Dimensions: unknown

Weight: unknown

733 pages

1st ed. 2023