Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression

Autor:	Emil Dumic, Anamaria Bjelopera, Andreas Nüchter
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	3DTK toolkit map projections point cloud compression point-to-point measure point-to-plane measure Poisson surface reconstruction Chemical technology TP1-1185
Zdroj:	Sensors, Vol 22, Iss 1, p 197 (2021)
Druh dokumentu:	article
ISSN:	1424-8220
DOI:	10.3390/s22010197
Popis:	In this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been compressed after creating Voronoi diagrams. Used video compression is specific for geometry (FFV1) and texture (H.265/HEVC). Decompressed point clouds are reconstructed using a Poisson surface reconstruction algorithm. Comparison with the original point clouds was performed using point-to-point and point-to-plane measures. Comprehensive experiments show better performance for some projection maps: cylindrical, Miller and Mercator projections.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/db08b8a29f7743a4bb95d620a0fa52ba Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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