Detection of Arrows in On-line Sketched Diagrams using Relative Stroke Positioning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230374" target="_blank" >RIV/68407700:21230/15:00230374 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/WACV.2015.87" target="_blank" >http://dx.doi.org/10.1109/WACV.2015.87</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WACV.2015.87" target="_blank" >10.1109/WACV.2015.87</a>
Alternative languages
Result language
angličtina
Original language name
Detection of Arrows in On-line Sketched Diagrams using Relative Stroke Positioning
Original language description
This paper deals with recognition of arrows in online sketched diagrams. Arrows have varying appearance and thus it is a difficult task to recognize them directly. It is beneficial to detect arrows after other symbols (easier to detect) are already found. We proposed [4] an arrow detector which searches for arrows as arbitrarily shaped connectors between already found symbols. The detection is done two steps: a) a search for a shaft of the arrow, b) a search for its head. The first step is relatively easy. However, it might be quite difficult to find the head reliably. This paper brings two contributions. The first contribution is a design of an arrow recognizer where the head is detected using relative strokes positioning. We embedded this recognizerinto the diagram recognition pipeline proposed earlier [4] and increased the overall accuracy. The second contribution is an introduction of a new approach to evaluate the relative position of two given strokes with neural networks (LSTM)
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WACV 2015: IEEE Winter Conference on Applications of Computer Vision
ISBN
978-1-4799-6682-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
610-617
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Hawaii
Event date
Jan 6, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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