Open AccessAn algorithm for generating uniform points on a cylindrical surface
Author(s) -
Jie Zhu,
Hongjun Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1592/1/012067
Subject(s) - point (geometry) , sampling (signal processing) , surface (topology) , poisson distribution , cylinder , algorithm , space (punctuation) , stability (learning theory) , set (abstract data type) , mathematics , computer science , geometry , computer vision , statistics , filter (signal processing) , machine learning , programming language , operating system
The existing Poisson-disk sampling methods work well in traditional space, whatever two dimensional or three dimensional space. However, there are few methods on generating random points in non-Euclid space. For generating uniform points on the cylinder surface, we propose an algorithm which combines Poisson-Disk sampling algorithm with cylindrical distance constraints in this paper. Experiment results show that the quality of the point set generated by the proposed algorithm is better than that generated by the pseudo-random number method in both uniformity and stability.