View Loops Separation from Engineering Drawings Based on Multi-Granularity Information Acquisition
To improve the validity and efficiency of feature recognition for 3D reconstruction from engineering drawings, this paper presents a new method of view loops separation based on multi-granularity information acquisition. By analyzing the line-frames of combined primitive views and hidden semantics in engineering drawing, combined relationship of graphics primitives can be identified, then applies line-frames partition method of figuration analysis, view loop separation of individual primitive is realized by inertial loop search with pre-set priority. This algorithm is actualized in AutoCAD 2008 platform with development tools of Object ARX2008 and Visual C#2.0. With this algorithm, an application module of 3D intelligent reconstruction system is developed and finally the validity of this research is verified by examples.
J. P. Liu et al., "View Loops Separation from Engineering Drawings Based on Multi-Granularity Information Acquisition", Advanced Materials Research, Vols. 108-111, pp. 543-548, 2010