Genetic algorithms for mesh surface smoothing

Mehmet Yasin Özsağlam; Mehmet Çunkaş

doi:10.1117/12.2180552

14 February 2015 Genetic algorithms for mesh surface smoothing

Mehmet Yasin Özsağlam, Mehmet Çunkaş

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 944522 (2015) https://doi.org/10.1117/12.2180552
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

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.

Citation Download Citation

Mehmet Yasin Özsağlam and Mehmet Çunkaş "Genetic algorithms for mesh surface smoothing", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944522 (14 February 2015); https://doi.org/10.1117/12.2180552

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