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Implicit surface reconstruction and feature detection with a learning algorithm

Kaye, David; Ivrissimtzis, Ioannis

Authors

David Kaye



Contributors

John Collomosse
Editor

Ian Grimstead
Editor

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.

Citation

Kaye, D., & Ivrissimtzis, I. (2010). Implicit surface reconstruction and feature detection with a learning algorithm. In J. Collomosse, & I. Grimstead (Eds.),

Conference Name Theory and Practice of Computer Graphics
Conference Location Sheffield, UK
Start Date Sep 6, 2010
End Date Sep 8, 2010
Publication Date Jan 1, 2010
Deposit Date Sep 28, 2010
Pages 127-130
Keywords Surface reconstruction, Implicit surfaces, Feature detection.
Public URL https://durham-repository.worktribe.com/output/1158734
Publisher URL http://www.eg.org/EG/DL/LocalChapterEvents/TPCG