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 on mobile devices, such as smartphones or other microcontrollers. Point cloud compression is now at an advanced level and being standardized. Nevertheless, quality assessment databases, which is needed to develop better objective quality metrics, are still limited. In this work, we create a broad quality assessment database for static point clouds, mainly for telepresence scenario. For the sake of completeness, the created database is analyzed using the mean opinion scores, and it is used to benchmark several state-of-the-art quality estimators. The generated database is named Broad quality Assessment of Static point clouds In Compression Scenario (BASICS). Currently, the BASICS database is used as part of the ICIP 2023 Grand Challenge on Point Cloud Quality Assessment, and therefore only a part of the database has been made publicly available at the challenge website. The rest of the database will be made available once the challenge is over.
翻译:除了3D meshes之外,现在人们通常使用点云来代表虚拟世界中的3D场景。它们的易于捕捉能够使移动设备上的各种应用,例如智能手机或其他微控制器。点云压缩目前处于高级水平,正在标准化。然而,质量评估数据库(为制定更客观的质量指标而需要的)仍然有限。在这项工作中,我们为静点云建立了一个广泛的质量评估数据库,主要用于远程现场情景。为了完整起见,利用平均意见评分对创建的数据库进行了分析,并用来对一些最先进的质量估测器进行基准。生成的数据库称为“压缩情景中静点云的广泛质量评估(BASICS) ” 。目前,BASICS数据库是国际热点质量评估2023大挑战的一部分,因此,在挑战网站上只公布数据库的一部分内容。一旦挑战结束后,数据库的其余部分内容将会公布。