Detection of Arrows in On-line Sketched Diagrams using Relative Stroke Positioning

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of Arrows in On-line Sketched Diagrams using Relative Stroke Positioning

Popis výsledku v původním jazyce

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)

Název v anglickém jazyce

Detection of Arrows in On-line Sketched Diagrams using Relative Stroke Positioning

Popis výsledku anglicky

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)

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

WACV 2015: IEEE Winter Conference on Applications of Computer Vision

ISBN

978-1-4799-6682-0

ISSN

—

e-ISSN

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Počet stran výsledku

8

Strana od-do

610-617

Název nakladatele

IEEE Computer Society Press

Místo vydání

Los Alamitos

Místo konání akce

Hawaii

Datum konání akce

6. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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