Projection based dynamic point cloud compression using 3DTK toolkit and H.265/HEVC (CROSBI ID 676662)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Dumic, Emil ; Bjelopera, Anamaria ; Nüchter, Andreas
engleski
Projection based dynamic point cloud compression using 3DTK toolkit and H.265/HEVC
This paper presents novel compression method for dynamic point clouds based on projections and the H.265/HEVC video coder. We used 3DTK - The 3D Toolkit to create equirectangular projection images and x265 as H.265/HEVC coder, to compress and extract created projection images. Compression was introduced in 3DTK generated projection image size (different pixel size, but compatible with later video compression), as well as lossless/lossy video compression. Visual inspection shows better results for compression only using different projection resolution, with lossless video compression. Lossy video compression adds noise and creates additional points, resulting in lower visual quality.
3DTK ; dynamic point clouds ; compression
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Podaci o prilogu
1-4.
2019.
objavljeno
10.23919/smagrimet.2019.8720392
Podaci o matičnoj publikaciji
Proceedings of Second International Colloquium on Smart Grid Metrology 2019 (SMAGRIMET 2019)
Ivšić, Branimir ; Petrović, Goran ; Dadić, Martin
Zagreb: Institute of Electrical and Electronics Engineers (IEEE)
978-953-184-246-4
Podaci o skupu
2ND INTERNATIONAL COLLOQUIUM ON SMART GRID METROLOGY (SMAGRIMET) 2019
predavanje
09.04.2019-12.04.2019
Split, Hrvatska
Povezanost rada
Elektrotehnika, Računarstvo
