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Related Experiment Videos

Signed distance computation using the angle weighted pseudonormal.

J Andreas Baerentzen1, Henrik Aanaes

  • 1Informatics and Mathematical Modeling Department, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark. jab@imm.dtu.dk

IEEE Transactions on Visualization and Computer Graphics
|May 5, 2005
PubMed
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Angle weighted pseudonormals reliably determine if a point is inside or outside a triangle mesh, even at vertices and edges. This method integrates seamlessly with signed distance calculations for efficient inside-outside determination.

Area of Science:

  • Computational geometry
  • Computer graphics
  • Geometric modeling

Background:

  • Surface normals are crucial for inside-outside tests on smooth surfaces.
  • Triangle meshes lack C1 continuity at vertices/edges, making standard normals undefined.
  • Existing methods struggle with inside-outside determination for non-smooth mesh features.

Purpose of the Study:

  • To demonstrate the efficacy of angle weighted pseudonormals for inside-outside mesh determination.
  • To show that angle weighted pseudonormals can be computed as part of signed distance calculations.
  • To propose an efficient algorithm for signed distance computation to closed C0 meshes.

Main Methods:

  • Utilizing angle weighted pseudonormals for inside-outside discrimination.

Related Experiment Videos

  • Integrating sign computation within signed distance algorithms.
  • Developing and testing a novel algorithm for signed distance to C0 meshes.
  • Main Results:

    • Angle weighted pseudonormals successfully distinguish inside/outside points for triangle meshes.
    • The sign computation using pseudonormals is an integral part of the distance computation.
    • A new algorithm efficiently computes signed distance to closed C0 meshes with negligible overhead for sign determination.

    Conclusions:

    • Angle weighted pseudonormals are a natural extension of face normals for non-smooth surfaces.
    • The proposed method provides a robust and efficient solution for inside-outside tests on triangle meshes.
    • The algorithm offers practical advantages for applications requiring accurate mesh point classification.