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Computer Science

Out-of-core Constrained Delaunay Tetrahedralizations for Large Scenes

Ziya Erkoç, Aytek Aman, U. Güdükbay, Hang Si

2021Lecture Notes in Computational Science and Engineering

DOI: 10.1007/978-3-030-76798-3_7

tlooto Summary

This work proposes an out-of-core near Delaunay constrained tetrahe-dralization algorithm using the divide-and-conquer paradigm to decrease memory usage and generates tetrahedralizations that do not satisfy theDelaunay criterion at the boundaries of the merged regions.

Abstract

Abstract is not available.

Citation format

ERKOÇ, Ziya, et al. Out-of-core constrained delaunay tetrahedralizations for large scenes. Lecture Notes in Computational Science and Engineering, 2021.