dc.contributor.author | Kaye, David | en_US |
dc.contributor.author | Ivrissimtzis, Ionnis | en_US |
dc.contributor.editor | John Collomosse and Ian Grimstead | en_US |
dc.date.accessioned | 2014-01-31T20:11:55Z | |
dc.date.available | 2014-01-31T20:11:55Z | |
dc.date.issued | 2010 | en_US |
dc.identifier.isbn | 978-3-905673-75-3 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/LocalChapterEvents/TPCG/TPCG10/127-130 | en_US |
dc.description.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. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling I.6.5 [Simulation and modeling]: Model Development | en_US |
dc.title | Implicit Surface Reconstruction and Feature Detection with a Learning Algorithm | en_US |
dc.description.seriesinformation | Theory and Practice of Computer Graphics | en_US |