Subgrid Marching Tetrahedra
Hossein Baktash, Mark Gillespie, Keenan Crane
Abstract
We describe a method for recovering a manifold, intersection-free triangle mesh from the points where edges of a tetrahedral grid pierce a continuous surface. Unlike classic marching cubes or tets, our subgrid marching scheme allows arbitrarily many surface patches within a single cell, capturing fine features and thin sheets. Moreover, it requires neither a well-defined inside/outside (allowing surfaces with boundary), nor consistently-oriented input geometry. Yet we retain the local, parallel nature of classic marching: reconstruction is performed independently per tet, yielding a conforming mesh across tet boundaries. Our key innovation is a generalization of normal coordinates from geometric topology, which encode surface connectivity via arbitrary integer intersection counts along each grid edge. This encoding sidesteps the usual Nyquist-Shannon limit, putting no lower bound on the size of features that can be resolved on a fixed grid. In practice, for similar compute time and equal grid resolution—or even an equal number of output triangles—meshes produced by subgrid marching are far more accurate than those from classic marching. Beyond standard contouring, our method can be used to convert polygon soup into a manifold, intersection-free mesh.
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Builds on12
- Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape SynthesisTianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu et al.NeurIPS 2021 · 652 citations
- ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingJasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra et al.CVPR 2022 · 117 citations
- Flexible Isosurface Extraction for Gradient-Based Mesh OptimizationTianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin et al.SIGGRAPH 2023 · 100 citations
- Discrete conformal equivalence of polyhedral surfacesMark Gillespie, Boris Springborn, Keenan CraneSIGGRAPH 2021 · 48 citations
- Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysisNicholas Sharp, Alec JacobsonSIGGRAPH 2022 · 45 citations
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