MSaD-Net: A Mix Self-Attention Networks for 3D Point Cloud Denoising
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2023.3272350
Abstract: In the process of acquiring 3D point cloud data, due to environmental interference or unstable scanning equipment, the acquired data often have noisy points. Recently, with the development of neural networks for point clouds, great… read more here.
Keywords: information; point cloud; cloud denoising; attention ... See more keywords
Nonlocal Low-Rank Point Cloud Denoising for 3-D Measurement Surfaces
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3139686
Abstract: 3-D imaging devices (e.g., depth cameras and optical and laser scanners) are frequently used to measure outdoor/indoor scenes. The measurement data represented by 3-D point clouds are, however, usually noisy and should be denoised to… read more here.
Keywords: point cloud; cloud denoising; low rank; point ... See more keywords
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3092826
Abstract: 3D dynamic point clouds provide a natural discrete representation of real-world objects or scenes in motion, with a wide range of applications in immersive telepresence, autonomous driving, surveillance, etc. Nevertheless, dynamic point clouds are often… read more here.
Keywords: dynamic point; distance; point; point cloud ... See more keywords