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
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.