English

Diamonds are Forever in the Blockchain: Geometric Polyhedral Point-Set Pattern Matching

Computational Geometry 2022-08-12 v1

Abstract

Motivated by blockchain technology for supply-chain tracing of ethically sourced diamonds, we study geometric polyhedral point-set pattern matching as minimum-width polyhedral annulus problems under translations and rotations. We provide two (1+ε)(1 + \varepsilon)-approximation schemes under translations with O(εdn)O(\varepsilon^{-d} n)-time for dd dimensions and O(nlogε1+ε2)O(n\log \varepsilon^{-1} + \varepsilon^{-2})-time for two dimensions, and we give an O(fd1ε12dn)O(f^{d-1}\varepsilon^{1-2d}n)-time algorithm when also allowing for rotations, parameterized on ff, which we define as the slimness of the point set.

Keywords

Cite

@article{arxiv.2208.05597,
  title  = {Diamonds are Forever in the Blockchain: Geometric Polyhedral Point-Set Pattern Matching},
  author = {Gill Barequet and Shion Fukuzawa and Michael T. Goodrich and David M. Mount and Martha C. Osegueda and Evrim Ozel},
  journal= {arXiv preprint arXiv:2208.05597},
  year   = {2022}
}

Comments

8 pages, 5 figures, To appear in 34th Canadian Conference on Computational Geometry

R2 v1 2026-06-25T01:38:10.314Z