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Symbol Recognition

Symbol Spotting in Technical Drawings Using Vectorial Signatures

Marçal RusiñolContact Information and Josep LladósContact Information

(1)  Centre de Visió per Computador / Computer Science Department, Edifici O, Campus UAB 08193 Bellaterra (Cerdanyola), Barcelona, Spain
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.

Contact Information Marçal Rusiñol
Email: marcal@cvc.uab.es
URL: http://www.cvc.uab.es

Contact Information Josep Lladós
Email: josep@cvc.uab.es
URL: http://www.cvc.uab.es
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