| dc.contributor.author |
Chmelařová, Natalija
|
cze |
| dc.contributor.author |
Chmelař, Pavel
|
cze |
| dc.contributor.author |
Rejfek, Luboš
|
cze |
| dc.date.accessioned |
2020-03-19T13:13:35Z |
|
| dc.date.available |
2020-03-19T13:13:35Z |
|
| dc.date.issued |
2019 |
eng |
| dc.identifier.isbn |
978-1-5386-9323-0 |
eng |
| dc.identifier.uri |
https://hdl.handle.net/10195/75097 |
|
| dc.description.abstract |
This paper deals with the fine plane estimation. For a plane detection the level connected component labeling algorithm is used. The precise plane position is determined by the plane's points histogram in the scanning dimension. Up till now, the final plane's range has been selected manually by a parameter. Plane presence in an input point cloud represents the higher points' concentration in the scanning dimension, higher than average value. The concentration decreases on both sides from a local maximum value. This paper presents the algorithm of the elbows' position estimation for the optimal plane's points range expression. The experimental part shows practical results of several examples and gives recommendations for parameters setting. |
eng |
| dc.format |
p. 263-267 |
eng |
| dc.language.iso |
eng |
eng |
| dc.publisher |
IEEE (Institute of Electrical and Electronics Engineers) |
eng |
| dc.relation.ispartof |
29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 |
eng |
| dc.rights |
open access |
eng |
| dc.subject |
plane detection |
eng |
| dc.subject |
elbow estimation |
eng |
| dc.subject |
level connected |
eng |
| dc.subject |
component labeling |
eng |
| dc.subject |
plane detection |
cze |
| dc.subject |
elbow estimation |
cze |
| dc.subject |
level connected |
cze |
| dc.subject |
component labeling |
cze |
| dc.title |
The Fine Plane Range Estimation From Point Cloud |
eng |
| dc.title.alternative |
The Fine Plane Range Estimation From Point Cloud |
cze |
| dc.type |
ConferenceObject |
eng |
| dc.description.abstract-translated |
This paper deals with the fine plane estimation. For a plane detection the level connected component labeling algorithm is used. The precise plane position is determined by the plane's points histogram in the scanning dimension. Up till now, the final plane's range has been selected manually by a parameter. Plane presence in an input point cloud represents the higher points' concentration in the scanning dimension, higher than average value. The concentration decreases on both sides from a local maximum value. This paper presents the algorithm of the elbows' position estimation for the optimal plane's points range expression. The experimental part shows practical results of several examples and gives recommendations for parameters setting. |
cze |
| dc.event |
29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 (16.04.2019 - 18.04.2019, Pardubice, CZ) |
eng |
| dc.peerreviewed |
yes |
eng |
| dc.publicationstatus |
postprint |
eng |
| dc.identifier.doi |
10.1109/RADIOELEK.2019.8733491 |
eng |
| dc.relation.publisherversion |
https://ieeexplore.ieee.org/document/8733491 |
eng |
| dc.project.ID |
SGS_2019_021/Výzkum pokročilých metod modelování, simulace, řízení, databázových systémů a webových aplikací |
eng |
| dc.identifier.wos |
000492026100048 |
eng |
| dc.identifier.obd |
39883781 |
eng |
