Connections: the geometric bridge between art and science
Connections: the geometric bridge between art and science
What makes an optimization problem hard?
Complexity
Journal of the ACM (JACM)
Piecewise regular meshes: construction and compression
Graphical Models - Special issue: Processing on large polygonal meshes
Simulation-based optimization: practical introduction to simulation optimization
Proceedings of the 35th conference on Winter simulation: driving innovation
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
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In present paper we propose a method for optimization of the choice of the platonic solid which is used for triangular mesh segmentation. Our approach is based on the idea to apply the platonic solids for surface mesh segmentation. The main contribution of this paper is the selection of the best platonic solid for a given model by finding the optimum value of a cost function with many local minima. Two functions are proposed for the selection of the best platonic solid to be used in a real application. Thanks to the proposed functions, the selection of the best model is done automatically. Experimental results show that method can be applied as guidance for shape modeling in reverse engineering.