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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
- Binding:
- Paperback
- Pages:
- 161
- Published:
- January 2, 2020
- Edition:
- 12020
- Dimensions:
- 148x210x0 mm.
- Weight:
- 454 g.
Delivery:
2-4 weeks
Expected delivery: December 22, 2024
Extended return policy to January 30, 2025
Description of Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
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.
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