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An AI automated self-organising, feature imitating approach for point cloud data reduction
This paper presents a novel AI based self-organising data reduction technique which combines feature detection and topological learning to reduce the memory footprint of point cloud data in an adaptive way, reducing point density in featureless parts of the point cloud whilst maintaining sufficient...
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Main Authors: | , , , |
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Format: | Default Conference proceeding |
Published: |
2021
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Subjects: | |
Online Access: | https://dx.doi.org/10.17028/rd.lboro.14596068.v1 |
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