Natural Parameterization

Authors

  • Torben Brøchner Department of Engineering, Aarhus University

Keywords:

Natural parameterization, Geometric DNA, Parametric meshing, Parameter extraction, Reparameterization, Tortuous mesh, Observation mesh, Master mesh, Goodness of replication, Tortuosity pole, Natural parameters, Master parameters, Iterated parameters, Dido

Abstract

The objective of this project has been to develop an approach for imitating physical objects with an underlying stochastic variation. The key assumption is that a set of “natural parameters” can be extracted by a new subdivision algorithm so they reflect what is called the object’s “geometric DNA”. A case study on one hundred wheat grain crosssections (Triticum aestivum) showed that it was possible to extract thirty-six such parameters and to reuse them for Monte Carlo simulation of “new” stochastic phantoms which possess
the same stochastic behavior as the “original” cross-sections.

Downloads

Published

2013-08-02

How to Cite

Brøchner, T. (2013). Natural Parameterization. Technical Report Mechanical Engineering, 2(5). Retrieved from https://tidsskrift.dk/me/article/view/21214