ACM Transactions on Graphics· 2013Q1
Robust inside-outside segmentation using generalized winding numbers
- 223citations
- Q1SCImago
- 2013year
Short summary
A new algorithm automatically generates accurate tetrahedral meshes of a 3D model's interior volume, even for complex inputs like self-intersecting or non-manifold meshes.
AI-generated from the title and abstract; the full text is not read.
Key points
- Developed an automatic algorithm for generating tetrahedral meshes of a 3D model's interior volume.
- The algorithm handles complex inputs including self-intersections, non-manifold geometry, and multiple components.
- It generalizes the winding number concept to segment arbitrary triangle meshes accurately.
- The output is a compact discretization that meets the boundary exactly, suitable for downstream applications.
AI-generated from the title and abstract; the full text is not read.
Abstract
Solid shapes in computer graphics are often represented with boundary descriptions, e.g. triangle meshes, but animation, physically-based simulation, and geometry processing are more realistic and accurate when explicit volume representations are available. Tetrahedral meshes which exactly contain (interpolate) the input boundary description are desirable but difficult to construct for a large class of input meshes. Character meshes and CAD models are often composed of many connected components with numerous self-intersections, non-manifold pieces, and open boundaries, precluding existing meshing algorithms. We propose an automatic algorithm handling all of these issues, resulting in a compact discretization of the input's inner volume. We only require reasonably consistent orientation of the input triangle mesh. By generalizing the winding number for arbitrary triangle meshes, we define a function that is a perfect segmentation for watertight input and is well-behaved otherwise. This function guides a graphcut segmentation of a constrained Delaunay tessellation (CDT), providing a minimal description that meets the boundary exactly and may be fed as input to existing tools to achieve element quality. We highlight our robustness on a number of examples and show applications of solving PDEs, volumetric texturing and elastic simulation.
The authors' abstract, as published at the source. ACM Transactions on Graphics, 2013 · DOI ↗
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Field: Computer Graphics and Computer-Aided Design
Computer Graphics and Computer-Aided DesignComputer Science