This paper presents the point cloud plane visualization by using the level image. A created level image indicates the point presence in a space at a specific level. By knowledge its origin position in a space, the physical pixel size and the detected rotation angle we can easily visualize planes in an analyzed point cloud. The connection of image processing methods with the physical measurement points offers besides the visualization also obtaining important properties about a scanned space. The described algorithm includes also a color point cloud visualization. Presented results showing the level images advantages for point clouds processing.
eng
dc.format
p. 547-560
eng
dc.language.iso
eng
eng
dc.relation.ispartof
Journal of Fundamental and Applied Sciences, volume 10, issue: 3S 2018
eng
dc.rights
open access
eng
dc.subject
Plane visualization
eng
dc.subject
Level image
eng
dc.subject
Point cloud
eng
dc.subject
Plane visualization
cze
dc.subject
Level image
cze
dc.subject
Point cloud
cze
dc.title
Point Cloud Plane Visualization by Using Level Image
eng
dc.title.alternative
Point Cloud Plane Visualization by Using Level Image
cze
dc.type
article
eng
dc.description.abstract-translated
This paper presents the point cloud plane visualization by using the level image. A created level image indicates the point presence in a space at a specific level. By knowledge its origin position in a space, the physical pixel size and the detected rotation angle we can easily visualize planes in an analyzed point cloud. The connection of image processing methods with the physical measurement points offers besides the visualization also obtaining important properties about a scanned space. The described algorithm includes also a color point cloud visualization. Presented results showing the level images advantages for point clouds processing.
cze
dc.peerreviewed
yes
eng
dc.publicationstatus
published
eng
dc.project.ID
SGS_2017_030/Zpracování telekomunikačních a multimediálních signálů
