Approximate congruence detection of model features for reverse engineering

Gao, C.H., Langbein, Frank Curd ORCID: https://orcid.org/0000-0002-3379-0323, Marshall, Andrew David ORCID: https://orcid.org/0000-0003-2789-1395 and Martin, Ralph Robert 2003. Approximate congruence detection of model features for reverse engineering. Presented at: Shape Modeling International Conference 2003, 12-15 May 2003. Proceedings of the Shape Modeling International Conference 2003. IEEE, pp. 69-77. 10.1109/SMI.2003.1199603

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Abstract

Reverse engineering allows the geometric reconstruction of simple mechanical parts. However, the resulting models suffer from inaccuracies caused by errors in measurement and reconstruction so such models do not have the exact congruence, symmetries and other regularities the original designer intended. We wish to impose such regularities in a beautification process. The paper discusses the particular problem of detecting approximate congruence between parts (e.g. a pair of handles) of a reconstructed B-rep model, so that a subsequent step can enforce them exactly. A practical detection algorithm is given for models defined using planes, spheres, cylinders, cones and tori. Analysis of the algorithm and experimental results show that expected congruence are detected reasonably quickly.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Additional Information:	© (2003) IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. PDF uploaded in accordance with publisher's policy http://www.ieee.org/documents/author_version_faq.pdf [accessed 11/12/2014]
Publisher:	IEEE
ISBN:	0769519091
Related URLs:	Publisher
Date of First Compliant Deposit:	30 March 2016
Last Modified:	26 Nov 2024 12:45
URI:	https://orca.cardiff.ac.uk/id/eprint/31748

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