Visual Saliency and Quality Evaluation for 3D Point Clouds and Meshes: An Overview

Three-dimensional (3D) point clouds (PCs) and meshes have increasingly become available and indispensable for diversified applications in work and life. In addition, 3D visual data contain information from any viewpoint when needed, introducing new challenges and opportunities. As in the cases of 2D...

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Bibliographic Details
Published in:APSIPA transactions on signal and information processing 2022-01, Vol.11 (1)
Main Authors: Lin, Weisi, Lee, Sanghoon
Format: Article
Language:English
Subjects:
Business, Economics and Politics
Economics
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Summary:Three-dimensional (3D) point clouds (PCs) and meshes have increasingly become available and indispensable for diversified applications in work and life. In addition, 3D visual data contain information from any viewpoint when needed, introducing new challenges and opportunities. As in the cases of 2D images and videos, computationally modeling saliency and quality for 3D PCs and meshes are important for widespread, economical adaption and optimization. This paper aims to provide a comprehensive overview of the related signal presentation and existing saliency and quality models, with major perspectives from the ultimate users (i.e., humans or machines), modeling methodology (with handcrafted features or machine learning), and modeling scope (generic or utility-oriented models). Possible future research directions are also discussed.
ISSN:2048-7703
2048-7703
DOI:10.1561/116.00000125