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Title: Integer coordinates for intrinsic geometry processing
This paper describes a numerically robust data structure for encoding intrinsic triangulations of polyhedral surfaces. Many applications demand a correspondence between the intrinsic triangulation and the input surface, but existing data structures either rely on floating point values to encode correspondence, or do not support remeshing operations beyond basic edge flips. We instead provide an integer-based data structure that guarantees valid correspondence, even for meshes with near-degenerate elements. Our starting point is the framework ofnormal coordinatesfrom geometric topology, which we extend to the broader set of operations needed for mesh processing (vertex insertion, edge splits,etc.). The resulting data structure can be used as a drop-in replacement for earlier schemes, automatically improving reliability across a wide variety of applications. As a stress test, we successfully compute an intrinsic Delaunay refinement and associated subdivision for all manifold meshes in the Thingi10k dataset. In turn, we can compute reliable and highly accurate solutions to partial differential equations even on extremely low-quality meshes.  more » « less
Award ID(s):
1943123
PAR ID:
10602930
Author(s) / Creator(s):
 ;  ;  
Publisher / Repository:
Association for Computing Machinery (ACM)
Date Published:
Journal Name:
ACM Transactions on Graphics
Volume:
40
Issue:
6
ISSN:
0730-0301
Format(s):
Medium: X Size: p. 1-13
Size(s):
p. 1-13
Sponsoring Org:
National Science Foundation
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