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Constructing regularity feature trees for solid models

Li, M., Langbein, Frank Curd ORCID: and Martin, Ralph Robert 2006. Constructing regularity feature trees for solid models. Presented at: Geometric Modeling and Processing (GMP 2006), Pittsburgh, PA, USA, 26-28 July 2006. Published in: Kim, Myung-Soo. S. and Shimada, Kenji eds. Geometric Modeling and Processing-GMP 2006. Lecture notes in computer science (4077) Berlin-Heidelberg: Springer Verlag, pp. 267-286. 10.1007/11802914_19

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Approximate geometric models, e.g. as created by reverse engineering, describe the approximate shape of an object, but do not record the underlying design intent. Automatically inferring geometric aspects of the design intent, represented by feature trees and geometric constraints, enhances the utility of such models for downstream tasks. One approach to design intent detection in such models is to decompose them into regularity features. Geometric regularities such as symmetries may then be sought in each regularity feature, and subsequently be combined into a global, consistent description of the model’s geometric design intent. This paper describes a systematic approach for finding such regularity features based on recovering broken symmetries in the model. The output is a tree of regularity features for subsequent use in regularity detection and selection. Experimental results are given to demonstrate the operation and efficiency of the algorithm.

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
Additional Information: Proceedings of the 4th International Conference, Pittsburgh, PA, USA, July 26-28 2006
Publisher: Springer Verlag
ISBN: 9783540367116
Last Modified: 20 Oct 2022 09:23

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