Point cloud denoising using a generalized error metric
Effective removal of noises from raw point clouds while preserving geometric features is the key challenge for point cloud denoising. To address this problem, we propose a novel method that jointly optimizes the point positions and normals. To preserve geometric features, our formulation uses a gene...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-06-01
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Series: | Graphical Models |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1524070324000043 |