Skip to main content

Computer Vision – ACCV 2022

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

  • Conference proceedings
  • © 2023

Access provided by Autonomous University of Puebla

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13846)

Included in the following conference series:

Conference proceedings info: ACCV 2022.

Buy print copy

Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

About this book

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.

Similar content being viewed by others

Keywords

Table of contents (45 papers)

  1. Biomedical Image Analysis

  2. Deep Learning for Computer Vision

Editors and Affiliations

  • University of Wollongong, Wollongong, Australia

    Lei Wang

  • University of Bonn, Bonn, Germany

    Juergen Gall

  • University of Adelaide, Adelaide, Australia

    Tat-Jun Chin

  • National Institute of Informatics, Tokyo, Japan

    Imari Sato

  • Johns Hopkins University, Baltimore, USA

    Rama Chellappa

Bibliographic Information

Publish with us