NDLI: Intelligent system for feature-based recognition of machining parts from points cloud

Content Provider	IEEE Xplore Digital Library
Author	Ane, B.K. Erbas, D.K. Zehtaban, L. Roller, D.
Copyright Year	2012
Description	Author affiliation: Institute of Computer-aided Product Development Systems, Universitaet Stuttgart, Germany (Ane, B.K.; Erbas, D.K.; Zehtaban, L.; Roller, D.)
Abstract	Feature recognition is a complex process consists of several steps. This process mostly requires the extraction of geometric features like normal vectors and curvatures, as well as segmentation of points cloud. There are two fundamental approaches can be used to calculate normal vectors and curvatures: analytical and numerical. The first approach is practically more complex. Nevertheless, the second approach has a drawback particularly in detecting sharp edges and transitions between different geometric objects. In this paper, a CAD intelligent system is proposed which is developed by enhancing the local Delaunay triangulation method. The new approach can automatically detect and eliminate noises in the points cloud and, thus, the direct neighboring points can be determined. Therefore, triangulations at sharp corners and edges, as well as transition between different surface regions can be optimized globally.
Starting Page	20
Ending Page	25
File Size	919109
Page Count	6
File Format	PDF
ISBN	9781467351140
e-ISBN	9781467351164
DOI	10.1109/HIS.2012.6421303
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-04
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Design automation Image edge detection Feature recognition curvatures Feature extraction sharp edges Libraries Vectors local triangulation normals Intelligent systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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