2021Unpublished venueOpen access

Optimization of Reverse Engineering Data for Regeneration of Triangular Mesh

Ashish Deb

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Abstract

Surface reconstruction of 3D reverse engineering data through the application of a triangulated mesh is a popular method. This thesis proposes a new simple genetic algorithm, an artificial intelligence method, to optimize triangular mesh generation which reduces the number of data points required to depict an object without sacrificing the details and accuracy.

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What this paper is about

Surface reconstruction of 3D reverse engineering data through the application of a triangulated mesh is a popular method. This thesis proposes a new simple genetic algorithm, an artificial intelligence method, to optimize triangular mesh generation which reduces the number of data points required to depict an object without sacrificing the details and accuracy.

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Available abstract

Surface reconstruction of 3D reverse engineering data through the application of a triangulated mesh is a popular method. This thesis proposes a new simple genetic algorithm, an artificial intelligence method, to optimize triangular mesh generation which reduces the number of data points required to depict an object without sacrificing the details and accuracy.

Key concepts: Reverse engineering, Triangle mesh, Computer science, Mesh generation, Object (grammar), Simple (philosophy), Genetic algorithm, Algorithm

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