The University of Edinburgh -
Division of Informatics
Forrest Hill & 80 South Bridge

Research Paper #764

Title:Equal-Distance Sampling of Superellipse Models
Authors:Pilu,M; Fisher,RB
Date:Jul 1995
Presented:To be presented at the British Machine Vision Conference, 1995
Abstract:superellipses are parametric models that can be used for representing two dimensional object parts or aspects of 3-D parts. Previously little care was given to obtaining a precise sampling of the contour of these models. Equal-distance sampling of superellipse model contours is, however, important for rendering and in cases in which a cost function needs to be estimated for data fitting or parameter estimation, such as in model-based optimisation. In this paper we present a new parametric method for achieving equal-distance sampling of superellipse model contours that properly combines two simple first order models of the sampled points distance function.

[Search These Pages] [DAI Home Page] [Comment]