Implicit Surface Reconstruction and Feature Detection with a Learning Algorithm

Kaye, David; Ivrissimtzis, Ionnis

Implicit Surface Reconstruction and Feature Detection with a Learning Algorithm

Files

127-130.pdf (313.38 KB)

Date

2010

Authors

Kaye, David
Ivrissimtzis, Ionnis

Publisher

The Eurographics Association

Abstract

We propose a new algorithm for implicit surface reconstruction and feature detection. The algorithm is based on a self organising map with the connectivity of a regular 3D grid that can be trained into an implicit representation of surface data. The implemented self organising map stores not only its current state but also its recent training history which can be used for feature detection. Preliminary results show that the proposed algorithm gives good quality reconstructions and can detect various types of feature.

        @inproceedings{:10.2312/LocalChapterEvents/TPCG/TPCG10/127-130
,
booktitle = {Theory and Practice of Computer Graphics
},
editor = {John Collomosse and Ian Grimstead
},
title = {{Implicit Surface Reconstruction and Feature Detection with a Learning Algorithm
}},
author = {Kaye, David and 
Ivrissimtzis, Ionnis
},
year = {2010
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905673-75-3
},
DOI = {/10.2312/LocalChapterEvents/TPCG/TPCG10/127-130
}
}