Sep 3, 2024 · We propose a no-reference PCQA method that recognizes sparse regions during 3D scanning, providing both local and overall quality scores.
Pointcloud Quality Assessment. This is the official repository for our proposed PCQA method, which can be integrated into industrial 3D automatic scanning, ...
This paper presents a no-reference point cloud quality assessment method for 3D robotic scanning, which can identify sparse regions and provide local and ...
Nov 18, 2024 · The BASICS dataset comprises 75 unique point clouds, each compressed with four different algorithms including a learning-based method, resulting ...
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This paper determines the optimal accuracy and correctness of a 3D point cloud produced by a low-cost spherical camera in comparison to the 3D point cloud ...
A robust assessment method of point cloud quality for enhancing 3D robotic scanning. 一种增强三维机器人扫描的点云质量鲁棒评估方法. Leihui Li, Xuping Zhang.
This study proposes a robust workflow to classify roof bolts in 3D point cloud data and to generate maps of roof bolt density and spacing.
Aug 11, 2024 · ... point cloud registration methods, we verified that the MPCR-Net could improve the accuracy and robustness of the 3D point cloud registration.
Oct 17, 2021 · Our paper proposes a point cloud projection and multi-scale feature fusion network based blind visual quality assessment method for colored point cloud(CPC).
Jul 25, 2024 · PU-Net enhances point cloud density using multi-level feature integration, while PointGrid blends point and grid-based methods for recognizing ...