Feature Clusters for Online Recognition of Graphic Units in Drawings

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21450%2F06%3A05129991" target="_blank" >RIV/68407700:21450/06:05129991 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Feature Clusters for Online Recognition of Graphic Units in Drawings
Original language description
Sketch drawing recognition is knowledge-intensive since the system must know what to look for in a drawing. In earlier work, we identified 24 different types of representations, termed graphic units. For recognition of graphic units we combine a multi-agent approach and online recognition. Each agent is specialised for one graphic unit, continuously parsing the online input stream for typical stroke features. When a threshold is reached, the agent puts a claim. Each agent's cluster of features can be viewed as distributed over a decision tree. The activation pattern of feature clusters indicates which graphic unit is identified. We present the exhaustive set of features for agents and a binary decision tree over which the features are distributed.
Czech name
Charakteristické skupiny pro on-line identifikaci garfických jednotek ve výkresech
Czech description
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Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Communicating Spaces: Proceedings of the 24th Conference on Education and Research in Computer Aided Architectural Design in Europe
ISBN
0-9541183-5-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
University of Thessaly
Place of publication
Volos
Event location
Volos
Event date
Sep 6, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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