Trilateration Using Unlabeled Path or Loop Lengths

IF 0.6 3区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Ioannis Gkioulekas, Steven J. Gortler, Louis Theran, Todd Zickler
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引用次数: 1

Abstract

Let \(\textbf{p}\) be a configuration of n points in \(\mathbb R^d\) for some n and some \(d \ge 2\). Each pair of points defines an edge, which has a Euclidean length in the configuration. A path is an ordered sequence of the points, and a loop is a path that begins and ends at the same point. A path or loop, as a sequence of edges, also has a Euclidean length, which is simply the sum of its Euclidean edge lengths. We are interested in reconstructing \(\textbf{p}\) given a set of edge, path and loop lengths. In particular, we consider the unlabeled setting where the lengths are given simply as a set of real numbers, and are not labeled with the combinatorial data describing which paths or loops gave rise to these lengths. In this paper, we study the question of when \(\textbf{p}\) will be uniquely determined (up to an unknowable Euclidean transform) from some given set of path or loop lengths through an exhaustive trilateration process. Such a process has already been used for the simpler problem of reconstruction using unlabeled edge lengths. This paper also provides a complete proof that this process must work in that edge-setting when given a sufficiently rich set of edge measurements and assuming that \(\textbf{p}\) is generic.

Abstract Image

使用未标记路径或循环长度的三边测量
设\(\textbf{p}\)是一个构型在\(\mathbb R^d\)中有n个点对于某个n和某个\(d \ge 2\)。每对点定义一条边,这条边在构形中具有欧几里德长度。路径是点的有序序列,而循环是在同一点开始和结束的路径。一个路径或环路,作为一个边序列,也有一个欧几里得长度,它就是它的欧几里得边长度的和。我们感兴趣的是重建\(\textbf{p}\)给定一组边,路径和循环长度。特别地,我们考虑未标记的设置,其中长度简单地作为实数集给出,并且没有用描述哪些路径或环路产生这些长度的组合数据来标记。在本文中,我们研究了当\(\textbf{p}\)将唯一确定(直到一个不可知的欧几里得变换)从一组给定的路径或循环长度通过详尽的三边检验过程。这样的过程已经用于使用未标记的边缘长度进行重建的更简单的问题。本文还提供了一个完整的证明,当给定足够丰富的边缘测量集并假设\(\textbf{p}\)是通用的时,该过程必须在该边缘设置中工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Discrete & Computational Geometry
Discrete & Computational Geometry 数学-计算机:理论方法
CiteScore
1.80
自引率
12.50%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Discrete & Computational Geometry (DCG) is an international journal of mathematics and computer science, covering a broad range of topics in which geometry plays a fundamental role. It publishes papers on such topics as configurations and arrangements, spatial subdivision, packing, covering, and tiling, geometric complexity, polytopes, point location, geometric probability, geometric range searching, combinatorial and computational topology, probabilistic techniques in computational geometry, geometric graphs, geometry of numbers, and motion planning.
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