This study presents an innovative method for precise measurement and map** of width
nephograms for blurred cracks on concrete dams. An intelligent segmentation network …

3-D reconstruction is essential to defect localization. This article proposes LCM-MVSNet, a
novel multi-view stereo (MVS) network with learnable cost metric (LCM) for more accurate …

Scene perception based on 3-D reconstruction has been widely applied in various
downstream applications for intelligent devices. The use of deep learning methods for scene …

There are many high dam hubs in the world, and the regular inspection of high dams is a
critical task for ensuring their safe operation. Traditional manual inspection methods pose …

Efforts in the domain of building studies involve the use of a diverse array of geomatic
sensors, some providing invaluable information in the form of three-dimensional point …

To obtain the optimal Bayesian network (BN) structure, researchers often use the hybrid
learning algorithm that combines the constraint-based (CB) method and the score-and …

Visual inspection plays a predominant role in inspecting infrastructure surface. However, the
generalization of existing visual inspection systems to large-scale real-world scenes …

The crack feature is the key to crack recognition in concrete surface crack detection systems
based on machine vision. As the “essence” of crack, the crack skeleton shows good stability …

Point clouds are very common tools used in the work of documenting historic heritage
buildings. These clouds usually comprise millions of unrelated points and are not presented …

To ensure functionality and durability, engineering constructions must have fractures
identified and repaired. Since cracks are typically discovered through visual inspection, the …