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Point clouds are now commonly used to represent 3D scenes in virtual world,in addition to 3D meshes. Their ease of capture enable various applications onmobile devices, such as smartphones or other microcontrollers. Point cloudcompression is now at an advanced level and being standardized. Nevertheless,quality assessment databases, which is needed to develop better objectivequality metrics, are still limited. In this work, we create a broad qualityassessment database for static point clouds, mainly for telepresence scenario.For the sake of completeness, the created database is analyzed using the meanopinion scores, and it is used to benchmark several state-of-the-art qualityestimators. The generated database is named Broad quality Assessment of Staticpoint clouds In Compression Scenario (BASICS). Currently, the BASICS databaseis used as part of the ICIP 2023 Grand Challenge on Point Cloud QualityAssessment, and therefore only a part of the database has been made publiclyavailable at the challenge website. The rest of the database will be madeavailable once the challenge is over.

BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios