bibtype C - Conference Paper (international conference)
ARLID 0536185
utime 20250123090514.2
mtime 20201215235959.9
SCOPUS 85096834985
WOS 000647639100010
DOI 10.1088/1757-899x/949/1/012007
title (primary) (eng) Subpixel precision in registration of multimodal datasets
publisher
name IOP Publishing
pub_time 2020
specification
page_count 10 s.
media_type E
serial
ARLID cav_un_epca*0536329
ISSN 1757-899X
title International Conference Florence Heri-tech: the Future of Heritage Science and Technologies 2020, Online Edition
publisher
place Bristol
name IOP publishing
year 2020
keyword multimodal datasets
keyword Subpixel precision
keyword analytical techniques
author (primary)
ARLID cav_un_auth*0377447
name1 Lébl
name2 Matěj
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
country CZ
share 50
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0254045
name1 Blažek
name2 Jan
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
country CZ
share 50
garant K
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0340366
name1 Striová
name2 J.
country IT
author
ARLID cav_un_auth*0340367
name1 Fontana
name2 R.
country IT
author
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2020/ZOI/blazek-0536185.pdf
cas_special
abstract (eng) The motivation for our research is the huge demand for registration of multimodal datasets in restorers practice. With an increasing number of various screening modalities, each analysis built on the acquired dataset starts with the registration of images acquired from different scanners and with varying levels of mutual correspondence. There is currently no well-suited state of the art method for this task. There are many existing approaches, i.e. based on control points or mutual information, but they do not provide satisfying (subpixel) precision, thus the registration is very often realized manually in Adobe Photoshop or any similar tool. Another popular option is to use scanners able to produce registered datasets by design. During the last 10 years, datasets from these devices have extended available analytical techniques the most.
action
ARLID cav_un_auth*0401102
name Heritech 2020
dates 20201014
mrcbC20-s 20201016
place online
country IT
RIV JC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2021
num_of_auth 5
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0314113
mrcbC61 1
cooperation
ARLID cav_un_auth*0340369
name National Institute of Optics
institution INO
country IT
confidential S
article_num 012007
mrcbT16-s 0.192
mrcbT16-E Q4
arlyear 2020
mrcbU02 C
mrcbU10 2020
mrcbU10 IOP Publishing
mrcbU14 85096834985 SCOPUS
mrcbU24 PUBMED
mrcbU34 000647639100010 WOS
mrcbU63 cav_un_epca*0536329 International Conference Florence Heri-tech: the Future of Heritage Science and Technologies 2020, Online Edition IOP publishing 2020 Bristol IOP Conference Series: Materials Science and Engineering 949 1757-899X