Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Pascal Laube
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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 ... Full description
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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.
More Information
| Author | Pascal Laube |
|---|---|
| Publisher | Springer Fachmedien Wiesbaden |
| Series | Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) |
| Release year | 2020 |
| Cover type | Softcover |
| EAN | 9783658290160 |