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Autori principali: Madan, Abhishek, Levin, David I. W.
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2410.06330
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author Madan, Abhishek
Levin, David I. W.
author_facet Madan, Abhishek
Levin, David I. W.
contents We present a general method for computing local parameterizations rooted at a point on a surface, where the surface is described only through a signed implicit function and a corresponding projection function. Using a two-stage process, we compute several points radially emanating from the map origin, and interpolate between them with a spline surface. The narrow interface of our method allows it to support several kinds of geometry such as signed distance functions, general analytic implicit functions, triangle meshes, neural implicits, and point clouds. We demonstrate the high quality of our generated parameterizations on a variety of examples, and show applications in local texturing and surface curve drawing.
format Preprint
id arxiv_https___arxiv_org_abs_2410_06330
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Local Surface Parameterizations via Smoothed Geodesic Splines
Madan, Abhishek
Levin, David I. W.
Graphics
We present a general method for computing local parameterizations rooted at a point on a surface, where the surface is described only through a signed implicit function and a corresponding projection function. Using a two-stage process, we compute several points radially emanating from the map origin, and interpolate between them with a spline surface. The narrow interface of our method allows it to support several kinds of geometry such as signed distance functions, general analytic implicit functions, triangle meshes, neural implicits, and point clouds. We demonstrate the high quality of our generated parameterizations on a variety of examples, and show applications in local texturing and surface curve drawing.
title Local Surface Parameterizations via Smoothed Geodesic Splines
topic Graphics
url https://arxiv.org/abs/2410.06330