The Smooth Power of the "Neandertal Method"

Fuente: arXiv
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Autori principali: Montag, Aaron, Reinhardt, Tim, Richter-Gebert, Jürgen
Natura: Preprint
Pubblicazione: 2025
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author Montag, Aaron
Reinhardt, Tim
Richter-Gebert, Jürgen
author_facet Montag, Aaron
Reinhardt, Tim
Richter-Gebert, Jürgen
contents We describe an algorithmic method to transform a Euclidean wallpaper pattern into a Circle Limit-style picture à la Escher. The design goals for the method are to be mathematically sound, aesthetically pleasing and fast to compute. It turns out that a certain class of conformal maps is particularly well-suited for the problem. Moreover, in our specific application, a very simple method, sometimes jokingly called the "Neandertal Method" for its almost brutal simplicity, proves to be highly efficient, as it can easily be parallelized to be run on the GPU, unlike many other approaches.
format Preprint
id arxiv_https___arxiv_org_abs_2507_07569
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The Smooth Power of the "Neandertal Method"
Montag, Aaron
Reinhardt, Tim
Richter-Gebert, Jürgen
Metric Geometry
Computational Geometry
Combinatorics
Differential Geometry
51M10, 53A35, 51F15
We describe an algorithmic method to transform a Euclidean wallpaper pattern into a Circle Limit-style picture à la Escher. The design goals for the method are to be mathematically sound, aesthetically pleasing and fast to compute. It turns out that a certain class of conformal maps is particularly well-suited for the problem. Moreover, in our specific application, a very simple method, sometimes jokingly called the "Neandertal Method" for its almost brutal simplicity, proves to be highly efficient, as it can easily be parallelized to be run on the GPU, unlike many other approaches.
title The Smooth Power of the "Neandertal Method"
topic Metric Geometry
Computational Geometry
Combinatorics
Differential Geometry
51M10, 53A35, 51F15
url https://arxiv.org/abs/2507.07569