Low data loss point cloud to multi-line conversion and union

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU138198" target="_blank" >RIV/00216305:26210/20:PU138198 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ME49197.2020.9286714" target="_blank" >http://dx.doi.org/10.1109/ME49197.2020.9286714</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ME49197.2020.9286714" target="_blank" >10.1109/ME49197.2020.9286714</a>

Result language
angličtina
Original language name
Low data loss point cloud to multi-line conversion and union
Original language description
Union of point clouds converted into lines is basically impossible nowadays. In big area mapping task, there is a problem how to represent scanned data. A point cloud is basic output from almost every mapping and environment scanning system, but as the area grows, there comes need for huge data storage and also the computation cost starts to grow rapidly. On the other side, curve representation is simple and easy to process, but all other data from point cloud get lost and further actualization of curve is basically impossible. In this article we present algorithms of robust procedure which can transfer point-cloud to curve and data. The final goal is to achieve the same result for two curves which are merged, as if two point-clouds were merged and transferred to curve.
Czech name
—
Czech description
—

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika (ME)
ISBN
978-1-7281-5600-2
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
1-4
Publisher name
Neuveden
Place of publication
neuveden
Event location
Praha
Event date
Dec 2, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000662155700059

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