Machine Learning Methods For Reverse Engineering Of Defective Structured Surfaces

Download or read book Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces written by Pascal Laube and published by Springer Nature. This book was released on 2020-01-02 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.