Danzer's Problem, Effective Constructions of Dense Forests and Digital Sequences
Ioannis Tsokanos

TL;DR
This paper introduces effective deterministic constructions of dense and optical forests in Euclidean spaces, improving bounds on visibility and density, and providing new solutions to Danzer's problem and related geometric set constructions.
Contribution
It presents the first deterministic constructions of dense and optical forests with optimal visibility and near-finite density bounds in any dimension.
Findings
Constructed a dense forest with optimal visibility that is deterministic.
Developed a deterministic optical forest with density only logarithmically failing to be finite.
Created a planar Peres-type forest with the best known visibility bounds.
Abstract
A 1965 problem due to Danzer asks whether there exists a set in Euclidean space with finite density intersecting any convex body of volume one. A recent approach to this problem is concerned with the construction of dense forests and is obtained by a suitable weakening of the volume constraint. A dense forest is a discrete point set of finite density getting uniformly close to long enough line segments. The distribution of points in a dense forest is then quantified in terms of a visibility function. Another way to weaken the assumptions in Danzer's problem is by relaxing the density constraint. In this respect, a new concept is introduced in this paper, namely that of an optical forest. An optical forest in is a point set with optimal visibility but not necessarily with finite density. In the literature, the best constructions of Danzer sets and dense forests lack…
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Taxonomy
TopicsDigital Image Processing Techniques · Topological and Geometric Data Analysis · Mathematical Dynamics and Fractals
