Detail publikačního výsledku

Sharp Feature Detection as a Useful Tool in Smart Manufacturing

PROCHÁZKOVÁ, J.; PROCHÁZKA, D.; LANDA, J.

Originální název

Sharp Feature Detection as a Useful Tool in Smart Manufacturing

Anglický název

Sharp Feature Detection as a Useful Tool in Smart Manufacturing

Druh

Článek WoS

Originální abstrakt

Industry 4.0 comprises of wide spectrum of developmental processes within the management of manufacturing and chain production. This intension leads to the increased need for high-quality methods for digitization and object reconstruction, especially in the area of reverse engineering. The article focus on a method for preservation and reconstruction of sharp features.

Anglický abstrakt

Industry 4.0 comprises of wide spectrum of developmental processes within the management of manufacturing and chain production. This intension leads to the increased need for high-quality methods for digitization and object reconstruction, especially in the area of reverse engineering. The article focus on a method for preservation and reconstruction of sharp features.

Klíčová slova

edge detection, point cloud, reverse engineering, spline, industry 4.0, 3D scanning, 3D model

Klíčová slova v angličtině

edge detection, point cloud, reverse engineering, spline, industry 4.0, 3D scanning, 3D model

Autoři

PROCHÁZKOVÁ, J.; PROCHÁZKA, D.; LANDA, J.

Rok RIV

2021

Vydáno

30.06.2020

Nakladatel

MDPI

Místo

BASEL

ISSN

2220-9964

Periodikum

ISPRS International Journal of Geo-Information

Svazek

9

Číslo

7

Stát

Švýcarská konfederace

Strany od

1

Strany do

18

Strany počet

18

URL

https://www.mdpi.com/2220-9964/9/7/422

Plný text v Digitální knihovně

http://hdl.handle.net/11012/193414

BibTex

@article{BUT164564,
  author="Jana {Procházková} and David {Procházka} and Jaromír {Landa}",
  title="Sharp Feature Detection as a Useful Tool in Smart Manufacturing",
  journal="ISPRS International Journal of Geo-Information",
  year="2020",
  volume="9",
  number="7",
  pages="1--18",
  doi="10.3390/ijgi9070422",
  url="https://www.mdpi.com/2220-9964/9/7/422"
}