3D reconstruction of a group of plants by the ground multi-image photogrammetry method

Drofová, Irena; Wang, Haozhou; Guo, Wei; Pospíšilík, Martin; Adámek, Milan; Valouch, Jan

dc.title	3D reconstruction of a group of plants by the ground multi-image photogrammetry method	en
dc.contributor.author	Drofová, Irena
dc.contributor.author	Wang, Haozhou
dc.contributor.author	Guo, Wei
dc.contributor.author	Pospíšilík, Martin
dc.contributor.author	Adámek, Milan
dc.contributor.author	Valouch, Jan
dc.relation.ispartof	2023 33rd International Conference Radioelektronika, RADIOELEKTRONIKA 2023
dc.identifier.isbn	979-8-3503-9834-2
dc.date.issued	2023
dc.event.title	33rd International Conference Radioelektronika, RADIOELEKTRONIKA 2023
dc.event.location	Pardubice
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2023-04-19
dc.event.edate	2023-04-20
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi	10.1109/RADIOELEKTRONIKA57919.2023.10109045
dc.relation.uri	https://ieeexplore.ieee.org/document/10109045
dc.relation.uri	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10109045
dc.subject	3D reconstruction	en
dc.subject	3D model	en
dc.subject	photogrammetry	en
dc.subject	image processing	en
dc.subject	point cloud	en
dc.description.abstract	This paper discusses the use of the terrestrial multi-frame photogrammetry method. This method is applied to a group of plants in a natural environment of a greenhouse. Image data is captured by two sensing devices with different types of lenses. Image data is used for the realistic 3D reconstruction of objects into a 3D model. In this experiment, we work primarily with the created point cloud.	en
utb.faculty	Faculty of Applied Informatics
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1011539
utb.identifier.obdid	43885246
utb.identifier.scopus	2-s2.0-85159062862
utb.identifier.wok	000990505700020
utb.source	d-scopus
dc.date.accessioned	2023-06-12T08:13:10Z
dc.date.available	2023-06-12T08:13:10Z
dc.description.sponsorship	Grand Agency of Tomas Bata University in Zlin [IGA/CebiaTech/2023/003]; Department of Security Engineering, Faculty of Applied Informatics; Tomas Bata University in Zlin
utb.ou	Depatment of Security Engineering
utb.ou	Depatment of Electronics and Measurement
utb.contributor.internalauthor	Drofová, Irena
utb.contributor.internalauthor	Pospíšilík, Martin
utb.contributor.internalauthor	Adámek, Milan
utb.contributor.internalauthor	Valouch, Jan
utb.fulltext.sponsorship	This research was based on the support The Tomas Bata University in Zlin, and Grand Agency of Tomas Bata University in Zlin, IGA/CebiaTech/2023/003, and the Department of Security Engineering, Faculty of Applied Informatics. The authors would like to thank the technical staff of Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Science, The University of Tokyo, for crop management.
utb.wos.affiliation	[Drofova, Irena; Adamek, Milan; Valouch, Jan] Tomas Bata Univ Zlin, Fac Appl Informat, Depatment Secur Engn, Zlin, Czech Republic; [Wang, Haozhou; Guo, Wei] Univ Tokyo, Grad Sch Agr & Life Sci, Tokyo, Japan; [Pospisilik, Martin] Tomas Bata Univ, Fac Appl Informat, Depatment Elect & Measurement, Zlin, Czech Republic
utb.scopus.affiliation	Tomas Bata University in Zlin, Faculty of Applied Informatics, Depatment of Security Engineering, Zlin, Czech Republic; The University of Tokyo, Graduate School of Agricultural and Life Sciences, Tokyo, Japan; Tomas Bata University in Zlin, Faculty of Applied Informatics, Depatment of Electronics and Measurement, Zlin, Czech Republic
utb.fulltext.projects	IGA/CebiaTech/2023/003