Measuring Similarity Between Curves on 2-Manifolds via Homotopy Area

被引:0
|
作者
Chambers, Erin Wolf [1 ]
Wang, Yusu [2 ]
机构
[1] St Louis Univ, Dept Math & Comp Sci, St Louis, MO 63103 USA
[2] Ohio State Univ, Dept Comp Sci & Engn, Columbus, OH 43210 USA
来源
PROCEEDINGS OF THE TWENTY-NINETH ANNUAL SYMPOSIUM ON COMPUTATIONAL GEOMETRY (SOCG'13) | 2013年
基金
美国国家科学基金会;
关键词
computational topology; homotopy; similarity measures for curves; curves on 2-manifolds; FRECHET DISTANCE;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Measuring the similarity of curves is a fundamental problem arising in many application fields. There has been considerable interest in several such measures, both in Euclidean space and in more general setting such as curves on Riemannian surfaces or curves in the plane minus a set of obstacles. However, so far, efficiently computable similarity measures for curves on general surfaces remain elusive. This paper aims at developing a natural curve similarity measure that can be easily extended and computed for curves on general orientable 2-manifolds. Specifically, we measure similarity between homotopic curves based on how hard it is to deform one curve into the other one continuously, and define this "hardness" as the minimum possible surface area swept by a homotopy between the curves. We consider cases where curves are embedded in the plane or on a triangulated orientable surface with genus g, and we present efficient algorithms (which are either quadratic or near linear time, depending on the setting) for both cases.
引用
收藏
页码:425 / 434
页数:10
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