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Improved shape for refinable surfaces with singularly parameterized irregularities.

Kęstutis Karčiauskas1, Jörg Peters2

  • 1Naugarduko 24, Vilnius University, LT-2006, Vilnius, Lithuania.

Computer Aided Design
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Summary
This summary is machine-generated.

This study introduces novel singularly-parameterized surface caps for high-quality design. Graded, C1 constructions offer a balance between polynomial degree and visual fidelity, improving highlight line distribution.

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Area of Science:

  • Computer-Aided Design
  • Geometric Modeling
  • Computer Graphics

Background:

  • Singularly-parameterized surfaces traditionally exhibit poor highlight line distribution, limiting their use in primary design.
  • Existing methods struggle to achieve high-quality surface representations for critical design applications.

Purpose of the Study:

  • To explore graded, many-piece, everywhere C1 (continuously differentiable) singularly-parameterized surface caps.
  • To mimic the shape of high-quality guide surfaces using these novel constructions.
  • To analyze the trade-off between polynomial degree and surface quality in these designs.

Main Methods:

  • Development of multi-piece, C1-continuous surface caps using singular parameterization.
  • Investigation of varying polynomial degrees (bi-degree 5, 4, 3) for surface construction.
  • Evaluation of highlight line distribution at both macroscopic and microscopic levels.

Main Results:

  • Bi-degree 5 constructions show good macroscopic highlight line distribution, with minor flaws near the singularity.
  • Lower-degree constructions (bi-4, bi-3) may necessitate guided subdivision for comparable macroscopic quality.
  • Singularly-parameterized functions on these surfaces are easily refined, similar to subdivision surfaces.

Conclusions:

  • Graded, C1 singularly-parameterized surface caps offer a viable approach for high-quality design surfaces.
  • Polynomial degree significantly impacts surface quality and highlight distribution.
  • The proposed method provides a flexible and refineable alternative for geometric modeling.