Point Cloud Denoising Algorithm via Geometric Metrics on the Statistical Manifold
A denoising algorithm was proposed for point cloud with high-density noise. The algorithm utilized geometric metrics on the statistical manifold and applied the idea of clustering K-means based on local statistical characteristics between noise and valid data. First, by calculating the expectation a...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/14/8264 |