{
"item_title" : "Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces",
"item_author" : [" Pascal Laube "],
"item_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.",
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Overview
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.
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Details
- ISBN-13: 9783658290160
- ISBN-10: 3658290161
- Publisher: Springer Vieweg
- Publish Date: January 2020
- Dimensions: 8.27 x 5.83 x 0.38 inches
- Shipping Weight: 0.49 pounds
- Page Count: 161
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