Automatic Learning of Symbol Descriptions Avoiding Topological Ambiguities
Identifieur interne : 005024 ( Main/Exploration ); précédent : 005023; suivant : 005025Automatic Learning of Symbol Descriptions Avoiding Topological Ambiguities
Auteurs : Joan Mas Romeu [Espagne] ; Bart Lamiroy [France] ; Gemma Sánchez [Espagne] ; Josep Llad S [Espagne]Source :
English descriptors
Abstract
In this paper we address both automatic recognition of sketched symbols and the construction of the corresponding models from user drawn examples. Our approach is based on a two stage process. In a first phase we use an Adjacency Grammar to express topological properties of the symbol. In order to be able to further disambiguate topologically similar configurations on the rules of the grammar that are triggered by the recognition process produce a set of local geometric invariants is defined. The combination of both steps results in an efficient recognition method for user drawn sketches. Furthermore, we show that the same approach can easily be adapted for the generation of Adjacency Grammars from user provided and hand drawn examples.
Url:
Affiliations:
- Espagne, France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Our approach is based on a two stage process. In a first phase we use an Adjacency Grammar to express topological properties of the symbol. In order to be able to further disambiguate topologically similar configurations on the rules of the grammar that are triggered by the recognition process produce a set of local geometric invariants is defined. The combination of both steps results in an efficient recognition method for user drawn sketches. Furthermore, we show that the same approach can easily be adapted for the generation of Adjacency Grammars from user provided and hand drawn examples.</div></front></TEI><affiliations><list><country><li>Espagne</li><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="Espagne"><noRegion><name sortKey="Mas Romeu, Joan" sort="Mas Romeu, Joan" uniqKey="Mas Romeu J" first="Joan" last="Mas Romeu">Joan Mas Romeu</name></noRegion><name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name><name sortKey="Sanchez, Gemma" sort="Sanchez, Gemma" uniqKey="Sanchez G" first="Gemma" last="Sánchez">Gemma Sánchez</name></country><country name="France"><region name="Grand Est"><name sortKey="Lamiroy, Bart" sort="Lamiroy, Bart" uniqKey="Lamiroy B" first="Bart" last="Lamiroy">Bart Lamiroy</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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