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 |
| Keywords: | |
| 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. |
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