Efficient Offset Mesh Generation with Preserved Features and Boundaries

Mesh offsetting plays a pivotal role in CAD/CAM applications. This paper introduces an efficient method for generating high-precision, predominantly topologically correct offset meshes from triangular meshes, employing direct offset and point representation. By offsetting sampled points of the input triangular mesh along multiple normals, we create points on a superset of the offset surface. Subsequent feature enhancement captures and enhances features on the point set, facilitating the tailored restricted power diagram-based reconstruction of the offset surface and features. Benchmarking on public datasets, along with comprehensive comparisons with state-of-the-art methods, demonstrates the accuracy, effectiveness, and robustness of our approach. Experimental results showcase its capability to handle diverse models and support arbitrary offset distances, producing predominantly topologically correct offset meshes with small approximation errors while preserving sharp features and open boundaries—even in challenging regions such as thin plates and thin tubular structures.

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Publication Details

Journal
ACM Transactions on Graphics
Published
2026-07-27
DOI
https://doi.org/10.1145/3832781
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Efficient Offset Mesh Generation with Preserved Features and Boundaries

Zhonggui Chen, Juan Cao, Bailin Deng, Ge Yin et al.
ACM Transactions on Graphics
3D Shape Modeling and Analysis
article

Efficient Offset Mesh Generation with Preserved Features and Boundaries

Zhonggui Chen, Juan Cao, Bailin Deng, Ge Yin, Canjia Huang, Jiangbo Huang
article en

Abstract

Mesh offsetting plays a pivotal role in CAD/CAM applications. This paper introduces an efficient method for generating high-precision, predominantly topologically correct offset meshes from triangular meshes, employing direct offset and point representation. By offsetting sampled points of the input triangular mesh along multiple normals, we create points on a superset of the offset surface. Subsequent feature enhancement captures and enhances features on the point set, facilitating the tailored restricted power diagram-based reconstruction of the offset surface and features. Benchmarking on public datasets, along with comprehensive comparisons with state-of-the-art methods, demonstrates the accuracy, effectiveness, and robustness of our approach. Experimental results showcase its capability to handle diverse models and support arbitrary offset distances, producing predominantly topologically correct offset meshes with small approximation errors while preserving sharp features and open boundaries—even in challenging regions such as thin plates and thin tubular structures.

ACM Transactions on Graphics
Xiamen University (CN), Zarubezhneft (RU), Active Technologies (Italy) (IT), Cardiff University (GB)
Openalex Percentile: Top 11%
3D Shape Modeling and Analysis
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