Automatic Adjacency Grammar Generation from User Drawn Sketches

Joan Mas Romeu 1 Bart Lamiroy 2 Gemma Sánchez 1 Josep Lladós 1
2 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we present an innovative approach to automatically generate adjacency grammars describing graphical symbols. A grammar production is formulated in terms of rulesets of geometrical constraints among symbol primitives. Given a set of symbol instances sketched by a user using a digital pen, our approach infers the grammar productions consisting of the ruleset most likely to occur. The performance of our work is evaluated using a comprehensive benchmarking database of on-line symbols.
Type de document :
Communication dans un congrès
IEEE. 18th International Conference on Pattern Recognition - ICPR 2006, Aug 2006, Hong Kong/Chine, 2, pp.1026 - 1029, 2006, 〈10.1109/ICPR.2006.293〉
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Soumis le : mercredi 4 octobre 2006 - 11:30:46
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59
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Joan Mas Romeu, Bart Lamiroy, Gemma Sánchez, Josep Lladós. Automatic Adjacency Grammar Generation from User Drawn Sketches. IEEE. 18th International Conference on Pattern Recognition - ICPR 2006, Aug 2006, Hong Kong/Chine, 2, pp.1026 - 1029, 2006, 〈10.1109/ICPR.2006.293〉. 〈inria-00103372〉

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