PCQD‐AR: Subjective quality assessment of compressed point clouds with head‐mounted augmented reality

Author:

Fan Chunling1ORCID,Zhang Yun2ORCID,Zhu Linwei3,Wu Xinju4

Affiliation:

1. School of Electronic and Communication Engineering Shenzhen Polytechnic University Shenzhen China

2. The School of Electronics and Communication Engineering Sun Yat‐sen University Shenzhen China

3. Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

4. Department of Computer Science City University of Hong Kong Hong Kong China

Abstract

AbstractThis letter fully studies the coloured point cloud quality assessment in augmented reality (AR) environment through subjective test. Firstly, a point cloud dataset, named point cloud quality dataset‐AR, including ten reference point clouds and their 90 distorted versions is presented, which were generated using the reference software of video‐based point cloud compression across various combinations of geometry and texture quantization parameters. Then, the impact of geometry and texture distortions on perceived quality of point clouds in AR environment was discussed in detail. Moreover, the performance of existing objective point cloud quality assessment metrics on the proposed dataset is evaluated. The subjective dataset including the values of mean opinion score were released to public.

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

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