Technical note: Signed Lp-distance fields

  • Authors:
  • Alexander Belyaev;Pierre-Alain Fayolle;Alexander Pasko

  • Affiliations:
  • School of Engineering & Physical Sciences, Heriot-Watt University, Edinburgh, UK;Computer Graphics Laboratory, University of Aizu, Japan;The National Centre for Computer Animation, Bournemouth University, UK

  • Venue:
  • Computer-Aided Design
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

We introduce and study a family of generalized double-layer potentials which are used to build smooth and accurate approximants for the signed distance function. Given a surface, the value of an approximant at a given point is a power mean of distances from the point to the surface points parameterized by the angle they are viewed from the given point. We analyze mathematical properties of the potentials and corresponding approximants. In particular, approximation accuracy estimates are derived. Our theoretical results are supported by numerical experiments which reveal the high practical potential of our approach.