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Symbol Spotting in Technical Drawings Using Vectorial Signatures

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3926))

Abstract

In this paper we present a method to determine which symbols are probable to be found in technical drawings using vectorial signatures. These signatures are formulated in terms of geometric and structural constraints between segments, as parallelisms, straight angles, etc. After representing vectorized line drawings with attributed graphs, our approach works with a multi-scale representation of these graphs, retrieving the features that are expressive enough to create the signature. Since the proposed method integrates a distortion model, it can be used either with scanned and then vectorized drawings or with hand-drawn sketches.

This work has been partially supported by the Spanish project CICYT TIC 2003-09291 and the Catalan project CeRTAP PVPC.

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© 2006 Springer-Verlag Berlin Heidelberg

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Rusiñol, M., Lladós, J. (2006). Symbol Spotting in Technical Drawings Using Vectorial Signatures. In: Liu, W., Lladós, J. (eds) Graphics Recognition. Ten Years Review and Future Perspectives. GREC 2005. Lecture Notes in Computer Science, vol 3926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11767978_4

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  • DOI: https://doi.org/10.1007/11767978_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34711-8

  • Online ISBN: 978-3-540-34712-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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