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10 June 2024 Overcoming the pain point in synthetic data generation: 3D remeshing and automated CAD repair with topological data analysis (TDA) indicators
Rachel Kinard, Nathan Jones, Brandon Kinard, Elizabeth Sudkamp, Alexander Mattingly, Joshua Rice
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Proceedings Volume 13035, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II; 130351D (2024) https://doi.org/10.1117/12.3015083
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States
Abstract
The reconstruction of a watertight surface mesh from point clouds is a difficult problem. Constructing a watertight model from a polygonal mesh is just as difficult since there can be many issues in these models, such as intersecting surfaces and non-manifold geometry. We first describe a complete repair process for a single CAD object, resulting in a repaired static model. Next, we implement a novel workflow that can be used to repair local issues on almost every model, allowing one to use global repair methods on local areas of the model. This workflow can be applied to an assembly of CAD objects to retain articulations in the final repaired dynamic model. We introduce methods from Topological Data Analysis (TDA) to show that topological features can be used in the definition of robust mesh metrics, to characterize and determine quality of meshes, and to implement fully-automated watertight & repair of CAD meshes.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Rachel Kinard, Nathan Jones, Brandon Kinard, Elizabeth Sudkamp, Alexander Mattingly, and Joshua Rice "Overcoming the pain point in synthetic data generation: 3D remeshing and automated CAD repair with topological data analysis (TDA) indicators", Proc. SPIE 13035, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II, 130351D (10 June 2024); https://doi.org/10.1117/12.3015083
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KEYWORDS
Computer aided design
Solid modeling
Air force
Process modeling
Data analysis
Data modeling
Mathematical modeling
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