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Related Experiment Video

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Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data
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Weighted straight skeletons in the plane.

Therese Biedl1, Martin Held2, Stefan Huber3

  • 1David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario N2L 1A2, Canada.

Computational Geometry : Theory and Applications
|February 5, 2015
PubMed
Summary

This study explores weighted straight skeletons, revealing they can be non-planar and cyclic. A linear-time algorithm is presented for strictly convex polygons, offering a new construction method.

Keywords:
AmbiguityCharacterizationGeneralizationPositive and negative weightsStraight skeleton

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Area of Science:

  • Computational Geometry
  • Graph Theory
  • Combinatorics

Background:

  • Straight skeletons are fundamental geometric structures with applications in computer graphics and mesh generation.
  • Existing definitions can be ambiguous, necessitating a rigorous approach.
  • Weighted variations introduce complexity and alter structural properties.

Purpose of the Study:

  • To provide a comprehensive investigation of weighted straight skeletons.
  • To clarify ambiguities in their procedural definition.
  • To analyze their geometric, graph-theoretical, and combinatorial properties.

Main Methods:

  • Formal geometric and combinatorial analysis.
  • Exploration of the roof model and face topology.
  • Case analysis for connectivity and planarity.
  • Development of a non-procedural construction algorithm.

Main Results:

  • Weighted straight skeletons can be non-planar and contain cycles.
  • Conditions for connectivity are identified.
  • A linear-time construction algorithm is derived for strictly convex polygons with arbitrary weights.
  • Restrictions are discussed for preserving unweighted skeleton behavior.

Conclusions:

  • The study clarifies the complex nature of weighted straight skeletons.
  • New insights into their structure and properties are provided.
  • Efficient algorithms are developed for specific polygon classes, advancing computational geometry.