The 3D scanning image quality of the interior with the mirror surface

Drofová, Irena; Adámek, Milan; Mach, Václav

dc.title	The 3D scanning image quality of the interior with the mirror surface	en
dc.contributor.author	Drofová, Irena
dc.contributor.author	Adámek, Milan
dc.contributor.author	Mach, Václav
dc.relation.ispartof	Annals of DAAAM and Proceedings of the International DAAAM Symposium
dc.identifier.issn	1726-9679 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-902734-29-7
dc.date.issued	2020
utb.relation.volume	31
utb.relation.issue	1
dc.citation.spage	826
dc.citation.epage	830
dc.event.title	31st International DAAAM Virtual Symposium "Intelligent Manufacturing and Automation"
dc.event.location	Mostar
utb.event.state-en	Croatia
utb.event.state-cs	Chorvatsko
dc.event.sdate	2020-10-21
dc.event.edate	2020-10-24
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	DAAAM International Vienna
dc.identifier.doi	10.2507/31st.daaam.proceedings.115
dc.relation.uri	https://daaam.info/31st-proceedings-2020
dc.relation.uri	https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2020/115.pdf
dc.subject	brightness	en
dc.subject	contrast	en
dc.subject	noise	en
dc.subject	3D scanner	en
dc.subject	photogrammetry	en
dc.description.abstract	This article deals with the theory of digital image transmission. Image quality and possible deterioration when scanning the interior using a 3D scanner. Noise in white areas has reduced image quality. Brightness and contrast values have been changed to increase quality. This adjustment suppressed noise, but not significantly. The mirror placed in the interior created a secondary 3D model and point clouds of the scanned space. The occlusion of point clouds from both 3D models could significantly increase image quality, especially in detail. © 2020 Danube Adria Association for Automation and Manufacturing, DAAAM. All rights reserved.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1011225
utb.identifier.obdid	43881513
utb.identifier.scopus	2-s2.0-85098113625
utb.source	d-scopus
dc.date.accessioned	2023-01-06T08:03:56Z
dc.date.available	2023-01-06T08:03:56Z
dc.description.sponsorship	IGA/CebiaTech/2020/003; Univerzita Tomáše Bati ve Zlíně
utb.contributor.internalauthor	Drofová, Irena
utb.contributor.internalauthor	Adámek, Milan
utb.contributor.internalauthor	Mach, Václav
utb.fulltext.affiliation	Irena Drofova, Milan Adamek & Vaclav Mach
utb.fulltext.dates	-
utb.fulltext.references	[1] Vijayalakshmi, D.; Malaya K. N.; Acharya P. O. (2020). A Comprehensive Survey on Image Contrast Enhancement Techniques in Spatial Domain, Sensing and Imaging, Vol. 21, No. 1, 2020, DOI: 10.1007/s11220-020-00305-3 [2] Altuntas, C., (2015). Integration of point clouds originated prom laser and photogrammetric images for visualition of complex details of historical buildings, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 431-435, 2015, DOI: https://doi.org/10.5194/isprsarchives-XL-5-W4-431-2015 [3] Hlaváč, V. & Šonka, M. (1992), Počítačové vidění, Grada a.s., ISBN: 80-85424-67-3 [4] Griffiths, D.; Boehm, J., (2019). A Review on Deep Learning Techniques for 3D Sensed Data Classification, Remute Sensing, Vol. 11, No. 12, ISSN: 2072-4292, DOI: https://doi.org/10.3390/rs11121499 [5] Agisoft (2020). [online], https://www.agisoft.com/features/professional-edition/ [6] Gefos ČR Leica BLK360 (2020). [online], https://www.gefos-leica.cz/o-produktech/3d-laserove-skenovani/3d-laserove-skenery/blk360 [7] Gefos ČR Leika BLK360 User Manual (2020). [online], https://www.gefos-leica.cz/data/original/skenery/rtc/853811_leica_blk360_um_v2.0.0_en.pdf [8] Švejda, J. (2018) Testing of the properties of the Leica ScanStation P40 and BLK360 3D scanners, Thesis, CVUT in Praque, 2018.
utb.fulltext.sponsorship	This research was based on the support of the Internal Grant Agency of Tomas Bata University under project No. IGA/CebiaTech/2020/003.
utb.fulltext.projects	IGA/CebiaTech/2020/003
utb.fulltext.faculty	-
utb.fulltext.ou	-