The captured 3D point clouds by depth cameras and 3D scanners are often corrupted by
noise, so point cloud denoising is typically required for downstream applications. We …

With the rapid development of 3D acquisition technology, point clouds have received
increasing attention. In recent years, point cloud-based deep learning has been applied to …

Machine vision is a technology that uses image processing and analysis techniques to
acquire and understand image information, enabling the recognition, measurement, and …

Surface defect identification is a crucial task in many manufacturing systems, including
automotive, aircraft, steel rolling, and precast concrete. Although image-based surface …

Gap and flush measurement is a challenging task in the process of aircraft assembly, which
significantly affects the reliability of aircraft aerodynamic shape. To ensure the quality of …

Ground segmentation of 3-D point clouds acquired by laser sensors plays a crucial role in
many applications, such as environment perception, scene understanding, and environment …

In the field of aircraft maintenance, regular inspection of fuselage surface during the aircraft
life cycle is a vital task to ensure the aircraft quality and flight safety. Currently, the inspection …

Skin deformation measurement is quite important for the aerodynamic performance of
aircrafts. To achieve this, 3D scanning is usually adopted to capture the 3D point cloud …

The intricacy of 3D surfaces often results cutting‐edge point cloud denoising (PCD) models
in surface degradation including remnant noise, wrongly‐removed geometric details …

This article examines how to accurately measure yarn density for 3-D braided composite
preforms in large images. However, due to the complex structure and dense yarns of the …