Symbol spotting in technical drawings using vectorial signatures

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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. © Springer-Verlag Berlin Heidelberg 2006.

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Rusiñol, M., & Lladós, J. (2006). Symbol spotting in technical drawings using vectorial signatures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3926 LNCS, pp. 35–46). Springer Verlag. https://doi.org/10.1007/11767978_4

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