Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Mesh Segmentation - A Comparative Study
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
A benchmark for 3D mesh segmentation
ACM SIGGRAPH 2009 papers
Multi-objective shape segmentation and labeling
SGP '09 Proceedings of the Symposium on Geometry Processing
Learning 3D mesh segmentation and labeling
ACM SIGGRAPH 2010 papers
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The aim of 3D-shape segmentation is to divide the surface of an object into meaningful parts. We present a novel version of seed-point-based segmentation including an evolutionary optimization to obtain better segments. At first, some initial seeds are defined. Each of them generates several so-called satellite seeds which enable a more detailed control of the segment boundaries. The locations and weights of the seeds are optimized with an Evolution Strategy. The objective function takes the object's curvature at the segments' boundaries into account as well as the length of these boundaries. An extensive evaluation and comparison with important existing segmentation approaches demonstrates the great potential of our approach.