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An adjacency grammar to recognize symbols and gestures in a digital pen framework

Published: 07 June 2005 Publication History

Abstract

The recent advances in sketch-based applications and digital-pen protocols make visual languages useful tools for Human Computer Interaction. Graphical symbols are the core elements of a sketch and, hence a visual language. Thus, symbol recognition approaches are the basis for visual language parsing. In this paper we propose an adjacency grammar to represent graphical symbols in a sketchy framework. Adjacency grammars represent the visual syntax in terms of adjacency relations between primitives. Graphical symbols may be either diagram components or gestures. An on-line parsing method is also proposed. The performance of the recognition is evaluated using a benchmarking database of 5000 on-line symbols. Finally, an application framework for sketching architectural floor plans is described.

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    Published In

    cover image Guide Proceedings
    IbPRIA'05: Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
    June 2005
    732 pages
    ISBN:3540261540
    • Editors:
    • Jorge S. Marques,
    • Nicolás Pérez de la Blanca,
    • Pedro Pina

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 07 June 2005

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    • (2013)Using grammars for pattern recognition in imagesACM Computing Surveys10.1145/2543581.254359346:2(1-34)Online publication date: 1-Nov-2013
    • (2009)Eager interpretation of on-line hand-drawn structured documentsPattern Recognition10.1016/j.patcog.2008.10.01842:12(3202-3214)Online publication date: 1-Dec-2009
    • (2006)Automatic learning of symbol descriptions avoiding topological ambiguitiesProceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling10.5555/2386275.2386279(27-34)Online publication date: 3-Sep-2006
    • (2005)An incremental parser to recognize diagram symbols and gestures represented by adjacency grammarsProceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives10.1007/11767978_22(243-254)Online publication date: 25-Aug-2005

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