Cookies

We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.


Durham Research Online
You are in:

Implicit surface reconstruction and feature detection with a learning algorithm.

Kaye, David and Ivrissimtzis, Ioannis (2010) 'Implicit surface reconstruction and feature detection with a learning algorithm.', Theory and Practice of Computer Graphics Sheffield, UK, 6-8 Sep 2010.

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.

Item Type:Conference item (Paper)
Keywords:Surface reconstruction, Implicit surfaces, Feature detection.
Full text:Full text not available from this repository.
Publisher Web site:http://www.eg.org/EG/DL/LocalChapterEvents/TPCG
Record Created:06 Oct 2010 15:50
Last Modified:11 Oct 2010 12:00

Social bookmarking: del.icio.usConnoteaBibSonomyCiteULikeFacebookTwitterExport: EndNote, Zotero | BibTex
Usage statisticsLook up in GoogleScholar | Find in a UK Library