This paper describes the point cloud visualization for rotary optical rangefinders. Measured distance data with image information from captured frames give a possibility to create a colored point cloud. The distance is measured by the vertical laser line and to select a color value directly from an actual measured frame is not possible. For this reason, the previous measurement frame is used. The individual frames shifting is estimated by the temple matching algorithm. The purpose of the paper is to show how easily it is possible to combine measurement data with image information in case of a color point cloud construction. The paper includes several examples of different point clouds to verify the algorithm's ability.
eng
dc.format
p. 168-173
eng
dc.language.iso
eng
eng
dc.publisher
IEEE
eng
dc.relation.ispartof
2017 27TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA)
eng
dc.rights
open access
eng
dc.subject
point cloud
eng
dc.subject
template matching
eng
dc.subject
rotary optical rangefinder
eng
dc.subject
laser measurement
eng
dc.subject
point cloud library
eng
dc.subject
point cloud
cze
dc.subject
template matching
cze
dc.subject
rotary optical rangefinder
cze
dc.subject
laser measurement
cze
dc.subject
point cloud library
cze
dc.title
The Point Cloud Visualisation For Rotary Optical Rangefinders
eng
dc.title.alternative
The Point Cloud Visualisation For Rotary Optical Rangefinders
cze
dc.type
ConferenceObject
eng
dc.description.abstract-translated
This paper describes the point cloud visualization for rotary optical rangefinders. Measured distance data with image information from captured frames give a possibility to create a colored point cloud. The distance is measured by the vertical laser line and to select a color value directly from an actual measured frame is not possible. For this reason, the previous measurement frame is used. The individual frames shifting is estimated by the temple matching algorithm. The purpose of the paper is to show how easily it is possible to combine measurement data with image information in case of a color point cloud construction. The paper includes several examples of different point clouds to verify the algorithm's ability.
cze
dc.event
27th International Conference on Radioelektronika (RADIOELEKTRONIKA) (19.04.2017 - 21.04.2017, Brno, CZ)
eng
dc.peerreviewed
yes
eng
dc.publicationstatus
postprint
eng
dc.identifier.doi
10.1109/RADIOELEK.2017.7937589
eng
dc.relation.publisherversion
http://ieeexplore.ieee.org/document/7937589/
eng
dc.project.ID
SGS_2017_030/Zpracování telekomunikačních a multimediálních signálů