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

Autor:	Ak, Ali, Zerman, Emin, Quach, Maurice, Chetouani, Aladine, Smolic, Aljosa, Valenzise, Giuseppe, Callet, Patrick Le
Rok vydání:	2023
Předmět:	Computer Science - Multimedia Computer Science - Graphics Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: Manuscript in preparation, 11 pages, 8 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2302.04796 Zobrazit plný text záznamu View this record from Arxiv