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Dynamic point cloud compression based on projections, surface reconstruction and video compression

Please always quote using this URN: urn:nbn:de:bvb:20-opus-252231
  • 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-pointIn 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.show moreshow less

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Metadaten
Author: Emil Dumic, Anamaria Bjelopera, Andreas Nüchter
URN:urn:nbn:de:bvb:20-opus-252231
Document Type:Journal article
Faculties:Fakultät für Mathematik und Informatik / Institut für Informatik
Language:English
Parent Title (English):Sensors
ISSN:1424-8220
Year of Completion:2021
Volume:22
Issue:1
Article Number:197
Source:Sensors (2022) 22:1, 197. https://doi.org/10.3390/s22010197
DOI:https://doi.org/10.3390/s22010197
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Tag:3DTK toolkit; Poisson surface reconstruction; map projections; octree; point cloud compression; point-to-plane measure; point-to-point measure
Release Date:2022/11/18
Date of first Publication:2021/12/28
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International