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REVIEW article

Front. Signal Process.
Sec. Image Processing
Volume 4 - 2024 | doi: 10.3389/frsip.2024.1420060
This article is part of the Research Topic Volumetric Video Processing View all 3 articles

New Challenges in Point Cloud Visual Quality Assessment: A Systematic Review

Provisionally accepted
  • Université de Nantes, Nantes, France

The final, formatted version of the article will be published soon.

    The compression, transmission and rendering of point clouds is essential for many use cases, notably immersive experience settings in eXtended Reality, telepresence and real-time communication where real world acquired 3D content is displayed in a virtual or real scene.Processing and display for these applications induce visual artifacts and the viewing conditions can impact the visual perception and Quality of Experience of users. Therefore, point cloud codecs, rendering methods, display settings and more need to be evaluated through visual Point Cloud Quality Assessment (PCQA) studies, both subjective and objective. However, the standardization of recommendations and methods to run such studies did not follow the evolution of the research field and new issues and challenges have emerged. In this paper, we make a systematic review of subjective and objective PCQA studies. We collected scientific papers from online libraries (IEEE Xplore, ACM DL, Scopus) and selected a set of relevant papers to analyze. From our observations, we discuss the progress and future challenges in PCQA toward efficient point cloud video coding and rendering for eXtended Reality. Main axes for development include the study of use case specific influential factors and the definition of new test conditions for subjective PCQA, and development of perceptual learning-based methods for objective PCQA metrics as well as more versatile evaluation of their performance and time complexity.

    Keywords: point cloud, Volumetric video, Systematic review, Subjective quality assessment, Objective quality metrics, QoE, Extended Reality

    Received: 19 Apr 2024; Accepted: 08 Oct 2024.

    Copyright: © 2024 Tious, Vigier and Ricordel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Amar Tious, Université de Nantes, Nantes, France

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.