A Survey of Algorithms for Geodesic Paths and Distances
July 20, 2020 Β· Declared Dead Β· π arXiv.org
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Authors
Keenan Crane, Marco Livesu, Enrico Puppo, Yipeng Qin
arXiv ID
2007.10430
Category
cs.GR: Graphics
Cross-listed
cs.CG
Citations
63
Venue
arXiv.org
Last Checked
2 months ago
Abstract
Numerical computation of shortest paths or geodesics on curved domains, as well as the associated geodesic distance, arises in a broad range of applications across digital geometry processing, scientific computing, computer graphics, and computer vision. Relative to Euclidean distance computation, these tasks are complicated by the influence of curvature on the behavior of shortest paths, as well as the fact that the representation of the domain may itself be approximate. In spite of the difficulty of this problem, recent literature has developed a wide variety of sophisticated methods that enable rapid queries of geodesic information, even on relatively large models. This survey reviews the major categories of approaches to the computation of geodesic paths and distances, highlighting common themes and opportunities for future improvement.
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