Graph-based point cloud color denoising with 3-dimensional patch-based similarity

R Watanabe, K Nonaka, E Pavez… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Point clouds are utilized in many 3-D applications such as cross-reality (XR) and realistic 3-
D display. They consist of a set of points with 3-D coordinates and associated color signals …

Graph-based Scalable Sampling of 3D Point Cloud Attributes

SN Sridhara, E Pavez, A Jayawant, A Ortega… - arXiv preprint arXiv …, 2024 - arxiv.org
3D Point clouds (PCs) are commonly used to represent 3D scenes. They can have millions
of points, making subsequent downstream tasks such as compression and streaming …

Graph Wavelet-Based Point Cloud Geometric Denoising with Surface-Consistent Non-Negative Kernel Regression

R Watanabe, K Nonaka, E Pavez… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Point cloud applications suffer from geometric noise caused by measurement errors induced
by the point cloud acquisition system. We propose a novel graph construction method …

Unfolding Gradient Graph Regularization for Point Cloud Color Denoising

H Wang, F Chen, W Liu, X Zeng - Chinese Conference on Pattern …, 2024 - Springer
Due to the cost and accuracy of current point cloud sampling equipment, the obtained point
color information is often corrupted by various noises. Existing point cloud denoising …

HNSW-based DBSCAN for Large-scale Point Cloud Computing

J Park, S Oh, T Kim, J Lee, J Lee… - 2023 IEEE/ACIS 8th …, 2023 - ieeexplore.ieee.org
This research aims to introduce an innovative algorithm for processing point cloud data, a
key technology in the Fourth Industrial Revolution. Point cloud data, which is used to …