Subjective Quality Database and Objective Study of Compressed Point Clouds with 6DoF Head-mounted Display

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Number of pages14
Journal / PublicationIEEE Transactions on Circuits and Systems for Video Technology
Online published30 Jul 2021
Publication statusOnline published - 30 Jul 2021

Abstract

In this paper, we focus on subjective and objective Point Cloud Quality Assessment (PCQA) in an immersive environment and study the effect of geometry and texture attributes in compression distortion. Using a Head-Mounted Display (HMD) with six degrees of freedom, we establish a subjective PCQA database, named SIAT Point Cloud Quality Database (SIAT-PCQD). Our database consists of 340 distorted point clouds compressed by the MPEG point cloud encoder with the combination of 20 sequences and 17 pairs of geometry and texture quantization parameters. The impact of distorted geometry and texture attributes is further discussed in this paper. Then, we propose two projection-based objective quality evaluation methods, i.e., a weighted view projection based model and a patch projection based model. Our subjective database and findings can be used in point cloud processing, transmission, and coding, especially for virtual reality applications. The subjective dataset1 has been released in the public repository.

Research Area(s)

  • Point clouds, subjective quality assessment, quality metrics, virtual reality, six degrees of freedom (6DoF)

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