Specifications
| Publisher | Springer |
| ISBN 13 | 9783658290160 |
| ISBN 10 | 3658290161 |
| Book Description | 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. |
| About the Author | Pascal Laube's main research interest is the development of machine learning methods for CAD reverse engineering. He is currently developing self-driving cars for an international operating German enterprise in the field of mobility, automotive and industrial technology. |
| Language | English |
| Author | Pascal Laube |
| Language | English |
| Publication Date | 43833 |
| Number of Pages | 161 |
Machine Learning Methods For Reverse Engineering Of Defective Structured Surfaces Paperback English by Pascal Laube - 43833
Added to cart
Cart Total EGP 0.00
