English

Incremental Noising and its Fractal Behavior

Computer Vision and Pattern Recognition 2017-09-21 v2

Abstract

This manuscript is about further elucidating the concept of noising. The concept of noising first appeared in \cite{CVPR14}, in the context of curvature estimation and vertex localization on planar shapes. There are indications that noising can play for global methods the role smoothing plays for local methods in this task. This manuscript is about investigating this claim by introducing incremental noising, in a recursive deterministic manner, analogous to how smoothing is extended to progressive smoothing in similar tasks. As investigating the properties and behavior of incremental noising is the purpose of this manuscript, a surprising connection between incremental noising and progressive smoothing is revealed by the experiments. To explain this phenomenon, the fractal and the space filling properties of the two methods respectively, are considered in a unifying context.

Keywords

Cite

@article{arxiv.1607.08362,
  title  = {Incremental Noising and its Fractal Behavior},
  author = {Konstantinos A. Raftopoulos and Marin Ferecatu and Dionyssios D. Sourlas and Stefanos D. Kollias},
  journal= {arXiv preprint arXiv:1607.08362},
  year   = {2017}
}

Comments

10 pages, 5 figures

R2 v1 2026-06-22T15:06:25.312Z