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Efficient Enumeration of Flat-Foldable Single Vertex Crease Patterns

  • Koji Ouchi
  • Ryuhei Uehara
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10167)

Abstract

We investigate enumeration of distinct flat-foldable crease patterns with natural assumptions. Precisely, for a given positive integer n, potential set of n crease lines are incident to the center of a sheet of disk paper at regular angles. That is, every angle between adjacent lines is equal to \(2\pi /n\). Then each line is assigned one of “mountain,” “valley,” and “flat (or consequently unfolded).” That is, we enumerate all flat-foldable crease patterns with up to n crease lines of unit angle \(2\pi /n\). We note that two crease patterns are equivalent if they are equal up to rotation and reflection. In computational origami, there are two well-known theorems for flat-foldability: the Kawasaki Theorem and the Maekawa Theorem. The first one is a necessary and sufficient condition of crease layout, however, it does not give us valid mountain/valley assignments. The second one is a necessary condition between the number of “mountain” and that of “valley.” However, sufficient condition(s) is(are) not known. Therefore, we have to enumerate and check flat-foldability one by one using other algorithm. In this research, we develop the first algorithm for the above stated problem by combining these results in a nontrivial way, and show its analysis of efficiency. We also give experimental results, which give us a new series of integer sequence.

Keywords

Binary String Single Vertex Linear Time Algorithm Enumeration Algorithm Efficient Enumeration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

We would like to thank Yota Otachi for his fruitful discussions and comments. This work is partially supported by MEXT/JSPS Kakenhi Grant Number 26330009 and 24106004.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of Information ScienceJapan Advanced Institute of Science and Technology (JAIST)NomiJapan

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