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

Autori
Dumic, Emil ; Bjelopera, Anamaria ; Nüchter, Andreas

Izvornik
Sensors (1424-8220) 22 (2022), 1; 197, 31

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
3DTK toolkit ; map projections ; point cloud compression ; point-to-point measure ; point-to-plane measure ; Poisson surface reconstruction ; octree

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA