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

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Document pages: 13 pages

Abstract: In this paper, we focus on subjective and objective Point Cloud QualityAssessment (PCQA) in an immersive environment and study the effect of geometryand 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 of303 valid distorted point clouds compressed by the MPEG point cloud encoderwith the combination of 20 sequences and 17 pairs of geometry and texturequantization parameters. The impacts of contents and geometry and textureattributes are further discussed in this paper. Then, we evaluate oursubjective database with current objective PCQA methods and propose anobjective weighted projection-based method to improve the consistency betweenobservers awareness and the importance of projected views. Our subjectivedatabase and findings can be used in perception-based point cloud processing,transmission, and coding, especially for Virtual Reality applications. Thesubjective dataset and quality scores will be available on the publicrepository.

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