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1992 | OriginalPaper | Buchkapitel

Self-Structural Syntax-Directed Pattern Recognition of Dimensioning Components in Engineering Drawings

verfasst von : Dov Dori

Erschienen in: Structured Document Image Analysis

Verlag: Springer Berlin Heidelberg

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A mechanical engineering drawing is a set of orthogonal 2D views of a 3D object. To establish vision-based communication among CAD/CAM systems and to implement 3D reconstruction, drawings need to be preprocessed to exploit the information conveyed by the annotation before separating it from the geometry. A rationale for a machine drawing understanding system is first argued. A context-free dimensioning grammar provides a basis for a self-structural, syntax-directed pattern recognition scheme. It employs learning the characteristic parameters of arrowheads and text from a detected sample, and using them to detect the entire population. Syntactic considerations that significantly decrease the search space help predict the spatial location and orientation of potential components. The underlying ideas of the scheme may be applicable to a broad scope of tasks involving intelligent recognition.

Metadaten
Titel
Self-Structural Syntax-Directed Pattern Recognition of Dimensioning Components in Engineering Drawings
verfasst von
Dov Dori
Copyright-Jahr
1992
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-77281-8_17