A robust approach to detect intersections between triangles with different numerical representations
The detection and classification of intersections between triangles are crucial tasks in a wide range of applications within Computer Graphics and Geometry Processing, including mesh Arrangements, mesh Booleans, and generic mesh processing and fixing tasks.Existing methods are hard-coded and deeply integrated into specific algorithms, and significant efforts are usually required to integrate them into new pipelines or to extend them to different numerical representations.This paper presents a versatile and exhaustive algorithm to identify and classify intersections between triangles with either floating points, rational numbers, or implicit representations.The proposed tool is implemented as a C++ templated and header-only code that is generic and easy to integrate into further algorithms requiring the triangle-triangle intersection detection step.The developed tool has been tested and compared with a state-of-the-art approach, and it is shared with the Geometry Processing community with an Open Source license.
Authors
- Gianmarco Cherchi (ORCID: https://orcid.org/0000-0003-2029-1119)
- L. Garau
Institutions
- University of Cagliari (IT)
Publication Details
- Journal
- Computer Science Research Notes
- Published
- 2025-01-01
- DOI
- https://doi.org/10.24132/csrn.2025-7
- Primary Topic
- Image and Object Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00