Graphics Recognition - from Re-engineering to Retrieval
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Structure-oriented contour representation and matching for engineering shapes
Computer-Aided Design
A Region-Based Hashing Approach for Symbol Spotting in Technical Documents
Graphics Recognition. Recent Advances and New Opportunities
Geometric matching for clip-art drawing retrieval
Journal of Visual Communication and Image Representation
Sketch-based retrieval of complex drawings using hierarchical topology and geometry
Computer-Aided Design
Sketch-based retrieval of drawings using spatial proximity
Journal of Visual Languages and Computing
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In this paper we present a novel approach to the retrieval of engineering drawings based on the use of stochastic models. Engineering drawing databases can be searched intuitively by presenting sketches or shapes which represent details such as e.g. screws or holes in the drawings of mechanical parts.The query is represented by a so called pseudo 2-D Hidden Markov Model (P2DHMM) which is surrounded by filler states. These filler states generate the remaining part of the engineering drawing apart from the query shape or sketch itself.Thus, our approach aims to retrieve those images containing certain details and also locates these details in the retrieved images, even in cases where the query shape is embedded in e.g. hatching or is connected to other parts in the drawing. The proposed technique achieves a good performance which is demonstrated by a number of query and retrieval examples in this paper.