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Objects Alignment in Point Cloud data for 3D Scanner Coordinate System based on Radon Transform.

Autoři: Dobrovolný Martin

Rok: 2024

Druh publikace: článek ve sborníku

Název zdroje: 2024 Internacional Conference on Applied Electronics (AE)

Název nakladatele: IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání: New York

Strana od-do: 32-35

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
cze	Metoda zarovnání objektů založená na Radonové transformaci pro souřadnicový systém 3D skeneru .	Článek popisuje navržený algoritmus a poskytuje a stručný úvod do celé problematiky návrhu 3D skeneru pro velké zásilky. Na závěr jsou diskutovány dosažené výsledky	Mračna bodů, 3D skenování, Radonova transformace
eng	Objects Alignment in Point Cloud data for 3D Scanner Coordinate System based on Radon Transform.	Our research department is currently developing a 3D Volume and Shape Scanner for large-scale Cargo– Mail in cooperation with air logistics partner. Shipments are sorted in the logistics center of the external partner and then placed in air containers. Also the bin packing problem will be solved in order to achieve the greatest possible efficiency in the use of container space. For these purposes, it is necessary to know not only the size and weight of the shipments, but also the overall shape. The paper describes a partial part of solved problem a unique algorithm of alignment of detected shipments to the coordinate system of the scanner. The algorithm for aligning objects to the scanner coordinate system is applieddirectly in 3D point cloud data and is based on the use of the Radon transform. The paper describes the proposed algorithm and alsogives a brief introduction to the whole issue of 3D scannerdesign for large shipments. Finally, the achieved results are discussed.	Point Cloud, 3D scanning, Radon transform,Data alignment.

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