Share Email Print

Proceedings Paper

Genetic algorithms for mesh surface smoothing
Author(s): Mehmet Yasin Özsağlam; Mehmet Çunkaş
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a new 3D mesh smoothing algorithm which is based on evolutionary methods. This method is a new optimization technique with Genetic algorithm. The main approach is based on expanding the search space by generating new meshes as genetic individuals. Features and shrinkage of models are preserved that are the main problems of existing smoothing algorithms. So with this method, over-smoothing effects are reduced and undesirable noises are effectively removed.

Paper Details

Date Published: 14 February 2015
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944522 (14 February 2015); doi: 10.1117/12.2180552
Show Author Affiliations
Mehmet Yasin Özsağlam, Necmettin Erbakan Univ. (Turkey)
Mehmet Çunkaş, Şelçuk Univ. (Turkey)

Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

© SPIE. Terms of Use
Back to Top