Review of automatic processing of topography and surface feature identification LiDAR data using machine learning techniques

Z Gharineiat, F Tarsha Kurdi, G Campbell - Remote Sensing, 2022 - mdpi.com
Machine Learning (ML) applications on Light Detection And Ranging (LiDAR) data have
provided promising results and thus this topic has been widely addressed in the literature …
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YS Gan, W Chen, WC Yau, Z Zou, ST Liong… - Expert Systems with …, 2023 - Elsevier
Image-based 3D reconstruction from a single-view image is critical and fundamental in
many areas and can be integrated into many applications to provide useful functions …

TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion

M Liu, X Li, J Liu, W Liu, Z Yu - Computers in Biology and Medicine, 2023 - Elsevier
With the increasing popularity of the use of 3D scanning equipment in capturing oral cavity
in dental health applications, the quality of 3D dental models has become vital in oral …

A 3D Point Cloud Classification Method Based on Adaptive Graph Convolution and Global Attention

Y Yue, X Li, Y Peng - Sensors, 2024 - mdpi.com
In recent years, there has been significant growth in the ubiquity and popularity of three-
dimensional (3D) point clouds, with an increasing focus on the classification of 3D point …