Optimization of reverse engineering data for regeneration of triangular mesh

Surface reconstruction of 3d reverse engineering data through the application of a triangulated mesh is a popular method. This is because triangles are the simplest polygons for computations. The purpose of a triangular mesh is to cover the point set with a surface mesh of triangular facets. During the last decade, reverse engineering and surface reconstruction have received much attention from manufacturing industries. Many algorithms have been developed to create a mesh, but algorithms of mesh are often poorly shaped and thus prone with error. This report proposes a new simple genetic algorithm, an artificial intelligence method, to optimize triangular mesh generation. This technique reduces the number of data points required to depict an object without sacrificing the details and accuracy.