Artificial intelligence for rhinoplasty design in Asian patients

R Li, F Shu, Y Zhen, Z Song, Y An, Y Jiang - Aesthetic Plastic Surgery, 2024 - Springer
Background Rhinoplasty is one of the most challenging plastic surgeries because it lacks a
uniform standard for preoperative design or implementation. For a long time, rhinoplasties …

Powerline extraction from aerial and mobile LiDAR data using deep learning

V Kumar, A Nandy, V Soni, B Lohani - Earth Science Informatics, 2024 - Springer
Accurate powerline classification from LiDAR point clouds is essential for efficient monitoring
and management of power distribution networks. Currently, the classification is being done …

Deep learning on 3D point clouds for safety-related asset management in buildings

G Anjanappa - 2022 - essay.utwente.nl
Buildings are equipped with multiple safety-related assets depending on the need and
functionality. It is vital to have up-to-date information on these assets for emergencies. As a …

Local region-learning modules for point cloud classification

K Turgut, H Dutagaci - Machine Vision and Applications, 2024 - Springer
Data organization via forming local regions is an integral part of deep learning networks that
process 3D point clouds in a hierarchical manner. At each level, the point cloud is sampled …

Generating 3D CAD Models from Laser Scanning Point Cloud Data to Monitor and Preserve Heritage Buildings

D Antón, A Al-Habaibeh, T Queiroz - … Facing the Challenges of the 21st …, 2023 - Springer
Condition monitoring of buildings can benefit from 3D laser scanning since the geometry of
the building and some key features and components can be identified for the purpose of …

Efficient automatic extraction of discontinuities from rock mass 3D point cloud data using unsupervised machine learning and RANSAC

H Daghigh - 2022 - open.library.ubc.ca
Geometric characterization of discontinuity planes in rock masses is an essential practice in
rock engineering. Analysis of 3D point cloud data of exposed rock surfaces acquired by …