CGAL - The Computational Geometry Algorithms Library

By Andreas Fabri, Monique Teillaud. 2011

435 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a6d4c3c96caff0806ea182026949479054f2b002

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1. Fu Zhang
2. Jiarong Lin
3. Wei Xu

Citations in the corpus

• Simple Features for R: Standardized Support for Spatial Vector Data (2018, unknown): “Potential candidate libraries to be used for this include s2 (Rubak and Ooms, 2017), liblwgeom (part of PostGIS), CGAL (Fabri and Pion, 2009), and boost.”
• R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package (2021, methodology): “For meshing, we make use of the Delaunay triangulation and graph cuts [28] implemented in CGAL [29]14.”