Controllable blending of line and polygon skeleton-based convolution surfaces with finite support kernels

Xiaoqiang Zhu, Qi Chen, Sihu Liu, Chenjie Fan, Chenze Song, Junjie Zhang*, Dan Zeng, Xiaogang Jin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We present a novel approach to control the blending of line and polygon skeleton-based convolution surfaces using locally varying Ratio of Support radius and Thickness (RST). With our method, solutions for local convolution surface approximation with prescribed surface thickness and support radii can be derived analytically. In addition, iso-surface shrinkage can be avoided by offsetting the endpoints of line skeletons and the edges of polygon skeletons. Our RST-based blending for convolution surfaces is local and can generate desired blending effects while approximating shapes with a specified thickness. Moreover, our method is intuitive and users can control the blending by adjusting the skeletal radius or the support radius of the finite support kernel independently. As our blending utilizes convolution integration only without requiring any extra composition operators, it allows for successive convolution blending operations to create complex shapes.

Original languageEnglish
Pages (from-to)98-109
Number of pages12
JournalComputers and Graphics (Pergamon)
Volume106
DOIs
Publication statusPublished - Aug 2022
Externally publishedYes

Keywords

  • Convolution surfaces
  • Implicit surface blending
  • Semi-analytical solutions
  • Support radius

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