Adaptive resolution refinement for high-fidelity continuum parameterizations

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Description

This paper describes an algorithm the adaptively samples a parametric continuum so that a fidelity metric is satisfied. Using the divide-and-conquer strategy of adaptive sampling eliminates the guesswork of traditional uniform parameterization techniques. The space and time complexity of parameterization are increased in a controllable manner so that a desired fidelity is obtained.

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15 p.

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Anderson, J.W.; Khamayseh, A. & Jean, B.A. October 1, 1996.

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Description

This paper describes an algorithm the adaptively samples a parametric continuum so that a fidelity metric is satisfied. Using the divide-and-conquer strategy of adaptive sampling eliminates the guesswork of traditional uniform parameterization techniques. The space and time complexity of parameterization are increased in a controllable manner so that a desired fidelity is obtained.

Physical Description

15 p.

Notes

OSTI as DE96014932

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  • 23. international ACM conference on computer graphics and interactive techniques, New Orleans, LA (United States), 4-9 Aug 1996

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  • Other: DE96014932
  • Report No.: LA-UR--96-3105
  • Report No.: CONF-960875--1
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 390609
  • Archival Resource Key: ark:/67531/metadc688712

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  • October 1, 1996

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • Feb. 25, 2016, 1:11 p.m.

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Anderson, J.W.; Khamayseh, A. & Jean, B.A. Adaptive resolution refinement for high-fidelity continuum parameterizations, article, October 1, 1996; New Mexico. (digital.library.unt.edu/ark:/67531/metadc688712/: accessed August 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.