Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
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% SALE
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.
Product details
- Type:
- Book
- Binding:
- Paperback
- Edition:
- 1
- Languages:
-
Original:
English
- Number of Pages:
-
180
- Publisher:
-
Springer
- Publication Date:
-
2020-01-03
- ISBN / EAN:
-
9783658290160
- Weight:
-
241 g
- Dimensions:
-
15/21/1 cm
- GPSR Manufacturer Reference:
-
[email protected]
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