Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Discover the cutting-edge insights in "Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces" by Pascal Laube. Published by Springer Fachmedien Wiesbaden in 2020, this comprehensive paperback spans 161 pages and delves into innovative machine learning techniques tailored for tackling three critical challenges in reverse engineering. Laube expertly addresses the parametrization of curves and surfaces, the classification of geometric primitives, and the inpainting of high-resolution textures. This book is an essential resource for professionals and researchers looking to enhance their understanding of machine learning applications in the field of structured surfaces. Equip yourself with the knowledge to overcome defects and elevate your engineering projects to new heights.