Type-Free Global Intersection Analysis with Linear Displacement Fields

History-independent intersection repair is a critical bottleneck in physical simulation and geometric processing. Existing global intersection analysis (GIA) methods identify invalid regions of relatively small area, but they rely on type-specific heuristics for different contour categories, while local intersection contour minimization (ICM) methods are simpler to deploy but often stall in local minima under deep or nested penetrations. In this paper, we present a novel untangling framework that formulates intersection resolution as a minimum-displacement separation-direction problem. For each intersection contour, we test a set of candidate linear displacement directions using VF/EE/FV ray casting and filter the raw hits using cluster culling based on primitive adjacency to find the valid hits belonging to the penetration region. We rank candidate directions by displacement cost, and refine the most promising direction with projected Newton updates on the sphere. Finally, we convert the valid hit support into standard proximity-style penalty pairs and integrate them into the standard physics simulator. We evaluate our method on diverse contour configurations and self-intersection benchmarks. Compared with the GIA and ICM baselines, our method resolves intersections more consistently, particularly in challenging cases involving deep and nested layers. The results show that our method is a practical, solver-compatible untangling pipeline for complex mesh intersections.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Graphics
Published
2026-11-09
DOI
https://doi.org/10.1145/3842504
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Type-Free Global Intersection Analysis with Linear Displacement Fields

Chen An-jun, Shihui Guo, Dan Song, Kui Wu et al.
ACM Transactions on Graphics
Computer Graphics and Visualization Techniques
article

Type-Free Global Intersection Analysis with Linear Displacement Fields

Chen An-jun, Shihui Guo, Dan Song, Kui Wu, Xudong Feng, Chengzhu He
article en

Abstract

History-independent intersection repair is a critical bottleneck in physical simulation and geometric processing. Existing global intersection analysis (GIA) methods identify invalid regions of relatively small area, but they rely on type-specific heuristics for different contour categories, while local intersection contour minimization (ICM) methods are simpler to deploy but often stall in local minima under deep or nested penetrations. In this paper, we present a novel untangling framework that formulates intersection resolution as a minimum-displacement separation-direction problem. For each intersection contour, we test a set of candidate linear displacement directions using VF/EE/FV ray casting and filter the raw hits using cluster culling based on primitive adjacency to find the valid hits belonging to the penetration region. We rank candidate directions by displacement cost, and refine the most promising direction with projected Newton updates on the sphere. Finally, we convert the valid hit support into standard proximity-style penalty pairs and integrate them into the standard physics simulator. We evaluate our method on diverse contour configurations and self-intersection benchmarks. Compared with the GIA and ICM baselines, our method resolves intersections more consistently, particularly in challenging cases involving deep and nested layers. The results show that our method is a practical, solver-compatible untangling pipeline for complex mesh intersections.

ACM Transactions on GraphicsVol. 45(6)
Tianjin University (CN), Xiamen University (CN), Zhejiang University (CN)
Computer Graphics and Visualization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon