Border Detection for Seamless Connection of Historical Cadastral Maps
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43963770" target="_blank" >RIV/49777513:23520/21:43963770 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-86198-8_4" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-86198-8_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-86198-8_4" target="_blank" >10.1007/978-3-030-86198-8_4</a>
Alternative languages
Result language
angličtina
Original language name
Border Detection for Seamless Connection of Historical Cadastral Maps
Original language description
This paper presents a set of methods for detection of important features in historical cadastral maps. The goal is to allow a seamless connection of the maps based on such features. The connection is very important so that the maps can be presented online and utilized easily. We concentrate on the detection of cadastre borders and important points lying on them. Neighboring map sheets are connected according to the common border. The tasks are solved using a combination of fully convolutional networks and conservative computer vision techniques. The presented approaches are evaluated on a newly created dataset containing manually annotated ground-truths. The dataset is freely available for research purposes.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Document Analysis and Recognition – ICDAR 2021 Workshops
ISBN
978-3-030-86197-1
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
16
Pages from-to
43-58
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Lausanne, Švýcarsko
Event date
Sep 5, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000711902100004