DocumentCode :
3352374
Title :
Research on STEP-based 3D model reconstruction and feature recognition
Author :
Dai, Baisheng ; Qiao, Jinyou
Author_Institution :
Dept. of Manage. Sci. & Eng., Northeast Agric. Univ., Harbin, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
4104
Lastpage :
4108
Abstract :
This paper used the STEP AP203 files as the input information, an 3D reconstruction module was developed on the basis of Open CASCADE 3D modeling platform by using the Visual C++. The data structure of STEP neutral file was analyzed and the correspondent C++ class of its geometry and topology information was designed. By using the STEP-Based attributed adjacency graph matching technique, features in the STEP model would be recognized. The DNAFRS system with the 3D reconstruction module and feature recognition module was developed.
Keywords :
C++ language; computational geometry; data structures; feature extraction; image reconstruction; topology; Open CASCADE 3D modeling; STEP AP203 files; STEP-based 3D model reconstruction; data structure; feature recognition; geometry information; graph matching technique; topology information; visual C++; Agricultural engineering; Assembly; CADCAM; Computer aided manufacturing; Design automation; Electrical equipment industry; ISO standards; Information geometry; Solid modeling; Topology; Open CASCADE; STEP; attributed adjacency graph; feature recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5535817
Filename :
5535817
Link To Document :
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