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Solving spatial basic geometric constraint configurations with locus intersection

Published: 17 June 2002 Publication History

Abstract

A basic idea of geometric constraint solving is to decompose the constraint problem into smaller ones according to some basic configurations. In this paper, we find all spatial basic configurations involving points, lines, and planes containing up to six geometric primitives in an automated way. Many of these basic configurations still resist effective analytical solutions. We propose the locus intersection method for geometric constraint solving, which is used to solve all these basic configurations.

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  1. Solving spatial basic geometric constraint configurations with locus intersection

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      cover image ACM Conferences
      SMA '02: Proceedings of the seventh ACM symposium on Solid modeling and applications
      June 2002
      424 pages
      ISBN:1581135068
      DOI:10.1145/566282
      • Conference Chairs:
      • Hans-Peter Seidel,
      • Vadim Shapiro,
      • Program Chairs:
      • Kunwoo Lee,
      • Nick Patrikalakis
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 17 June 2002

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      Author Tags

      1. geometric constraint solving
      2. locus intersection
      3. parametric CAD
      4. spatial basic configuration

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      SMA '02 Paper Acceptance Rate 43 of 93 submissions, 46%;
      Overall Acceptance Rate 86 of 173 submissions, 50%

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      Cited By

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      • (2019)Variational B-rep Model Analysis for Direct Modeling using Geometric PerturbationJournal of Computational Design and Engineering10.1016/j.jcde.2019.03.002Online publication date: Mar-2019
      • (2019)On the Mechanization of Straightedge and Compass ConstructionsJournal of Systems Science and Complexity10.1007/s11424-019-8347-132:1(124-149)Online publication date: 14-Feb-2019
      • (2017)A robust and efficient method for solving point distance problems by homotopyMathematical Programming: Series A and B10.1007/s10107-016-1058-7163:1-2(115-144)Online publication date: 1-May-2017
      • (2013)Combinatorics and the rigidity of CAD systemsComputer-Aided Design10.1016/j.cad.2012.10.03045:2(473-482)Online publication date: Feb-2013
      • (2012)Decomposition of geometrical constraint systems with reparameterizationProceedings of the 27th Annual ACM Symposium on Applied Computing10.1145/2245276.2245298(102-108)Online publication date: 26-Mar-2012
      • (2011)Sensor network localization using sensor perturbationACM Transactions on Sensor Networks10.1145/1921621.19216307:4(1-23)Online publication date: 4-Feb-2011
      • (2011)Geometric Constraint Solving in Parametric Computer-Aided DesignJournal of Computing and Information Science in Engineering10.1115/1.359340811:2(021001)Online publication date: 2011
      • (2011)Tracking Method for Reparametrized Geometrical Constraint SystemsProceedings of the 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing10.1109/SYNASC.2011.26(31-38)Online publication date: 26-Sep-2011
      • (2010)A formalization of geometric constraint systems and their decompositionFormal Aspects of Computing10.1007/s00165-009-0117-822:2(129-151)Online publication date: 1-Mar-2010
      • (2009)Multivariate root finding with search space decomposition and randomisationProceedings of the 2009 ACM symposium on Applied Computing10.1145/1529282.1529535(1142-1143)Online publication date: 8-Mar-2009
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