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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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Bibliographic Details
Main Authors: Raska Soemantoro, Hao Yue, Muhammad Omer, Lee Margetts
Format: Default Conference proceeding
Published: 2021
Subjects:
Online Access:https://dx.doi.org/10.17028/rd.lboro.14596068.v1
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