A higher dimensional formulation for robust and interactive distance queries

Jun Kyung Seong, David E. Johnson, Elaine Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

We present an efficient and robust algorithm for computing the minimum distance between a point and freeform curve or surface by lifting the problem into a higher dimension. This higher dimensional formulation solves for all query points in the domain simultaneously, therefore providing opportunities to speed computation by applying coherency techniques. In this framework, minimum distance between a point and planar curve is solved using a single polynomial equation in three variables (two variables for a position of the point and one for the curve). This formulation yields two-manifold surfaces as a zero-set in a 3D parameter space. Given a particular query point, the solution space's remaining degrees-of-freedom are fixed and we can numerically compute the minimum distance in a very efficient way. We further recast the problem of analyzing the topological structure of the solution space to that of solving two polynomial equations in three variables. This topological information provides an elegant way to efficiently find a global minimum distance solution for spatially coherent queries. Additionally, we extend this approach to a 3D case. We formulate the problem for the surface case using two polynomial equations in five variables. The effectiveness of our approach is demonstrated with several experimental results.

Original languageEnglish
Title of host publicationProceedings SPM 2006 - ACM Symposium on Solid and Physical Modeling
Pages197-206
Number of pages10
Volume2006
Publication statusPublished - 2006 Jul 20
Externally publishedYes
EventSPM 2006 - ACM Symposium on Solid and Physical Modeling - Wales, United Kingdom
Duration: 2005 Jun 62005 Jun 8

Other

OtherSPM 2006 - ACM Symposium on Solid and Physical Modeling
CountryUnited Kingdom
CityWales
Period05/6/605/6/8

Fingerprint

Polynomials

Keywords

  • Dimensionality lifting
  • Minimum distance
  • Problem reduction scheme
  • Spline models

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Seong, J. K., Johnson, D. E., & Cohen, E. (2006). A higher dimensional formulation for robust and interactive distance queries. In Proceedings SPM 2006 - ACM Symposium on Solid and Physical Modeling (Vol. 2006, pp. 197-206)

A higher dimensional formulation for robust and interactive distance queries. / Seong, Jun Kyung; Johnson, David E.; Cohen, Elaine.

Proceedings SPM 2006 - ACM Symposium on Solid and Physical Modeling. Vol. 2006 2006. p. 197-206.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Seong, JK, Johnson, DE & Cohen, E 2006, A higher dimensional formulation for robust and interactive distance queries. in Proceedings SPM 2006 - ACM Symposium on Solid and Physical Modeling. vol. 2006, pp. 197-206, SPM 2006 - ACM Symposium on Solid and Physical Modeling, Wales, United Kingdom, 05/6/6.
Seong JK, Johnson DE, Cohen E. A higher dimensional formulation for robust and interactive distance queries. In Proceedings SPM 2006 - ACM Symposium on Solid and Physical Modeling. Vol. 2006. 2006. p. 197-206
Seong, Jun Kyung ; Johnson, David E. ; Cohen, Elaine. / A higher dimensional formulation for robust and interactive distance queries. Proceedings SPM 2006 - ACM Symposium on Solid and Physical Modeling. Vol. 2006 2006. pp. 197-206
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