3DSAC: Size Adaptive Clustering for 3D object detection in point clouds
3D object detection is important for various indoor applications to understand the environment. Previous voting-based methods voted on the center of each seed point, which may suffer from errors from background points or adjacent objects. And the size-fixed feature grouping module is unsuitable for...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-04-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223000535 |