Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
Existing deep learning algorithms for point cloud analysis mainly concern discovering semantic patterns from the global configuration of local geometries in a supervised learning manner. However, very few explore geometric properties revealing local surface manifolds embedded in 3-D Euclidean space...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
NLM (Medline)
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |