Smooth Interpolation of Curve Networks with Surface Normals
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Recent surface acquisition technologies based on microsensors produce three-space tangential curve data which can be transformed into a network of space curves with surface normals. This paper addresses the problem of surfacing an arbitrary closed 3D curve network with given surface normals. Thanks to the normal vector input, the patch finding problem can be solved unambiguously and an initial piecewise smooth triangle mesh is computed. The input normals are propagated throughout the mesh and used to compute mean curvature vectors. We then introduce a new variational optimization method in which the standard bi-Laplacian is penalized by a term based on the mean curvature vectors. The intuition behind this original approach is to guide the standard Laplacian-based variational methods by the curvature information extracted from the input normals. The normal input increases shape fidelity and allows to achieve globally smooth and visually pleasing shapes.
Description
@inproceedings{10.2312:egsh.20161005,
booktitle = {EG 2016 - Short Papers},
editor = {T. Bashford-Rogers and L. P. Santos},
title = {{Smooth Interpolation of Curve Networks with Surface Normals}},
author = {Stanko, Tibor and Hahmann, Stefanie and Bonneau, Georges-Pierre and Saguin-Sprynski, Nathalie},
year = {2016},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {},
DOI = {10.2312/egsh.20161005}
}