Machine learning methods for reverse engineering of defective structured surfaces

Machine learning methods for reverse engineering of defective structured surfaces

المؤلف
Pascal Laube
سنة النشر
2020
الناشر
Springer
لغة الملف
انكليزي
نوع الملف
Book
تصنيف الكتاب
Computer Science

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.


الكلمات المفتاحية: Computer science / Machine Learning Methods / CaD Reverse Engineering / Defective Structured Surfaces / Surface Reconstruction / Geometric Modeling / Surface Approximation / Surface Parametrization