Toward 3D property valuation—a review of urban 3D modelling methods for digital twin creation
Increasing urbanisation has inevitably led to the continuous construction of buildings. Urban
expansion and densification processes reshape cities and, in particular, the third dimension …
expansion and densification processes reshape cities and, in particular, the third dimension …
Augmented reality assisted assembly training oriented dynamic gesture recognition and prediction
J Dong, Z Xia, Q Zhao - Applied Sciences, 2021 - mdpi.com
Augmented reality assisted assembly training (ARAAT) is an effective and affordable
technique for labor training in the automobile and electronic industry. In general, most tasks …
technique for labor training in the automobile and electronic industry. In general, most tasks …
A review of rigid point cloud registration based on deep learning
L Chen, C Feng, Y Ma, Y Zhao, C Wang - Frontiers in Neurorobotics, 2024 - frontiersin.org
With the development of 3D scanning devices, point cloud registration is gradually being
applied in various fields. Traditional point cloud registration methods face challenges in …
applied in various fields. Traditional point cloud registration methods face challenges in …
A robust multi-local to global with outlier filtering for point cloud registration
As a prerequisite for many 3D visualization tasks, point cloud registration has a wide range
of applications in 3D scene reconstruction, pose estimation, navigation, and remote sensing …
of applications in 3D scene reconstruction, pose estimation, navigation, and remote sensing …
2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds
Robust local cross-domain feature descriptors of 2D images and 3D point clouds play an
important role in 2D and 3D vision applications, eg augmented Reality (AR) and robot …
important role in 2D and 3D vision applications, eg augmented Reality (AR) and robot …
Adaptive LPU Decision for Dynamic Point Cloud Compression
With the rapid development of point cloud applications, dynamic point cloud compression
has become a hot topic. A fast and accurate motion estimation scheme is the focus of …
has become a hot topic. A fast and accurate motion estimation scheme is the focus of …
Ground camera image and large-scale 3-D image-based point cloud registration based on learning domain invariant feature descriptors
Multisource data are captured from different sensors or generated with different generation
mechanisms. Ground camera images (images taken from ground-based camera) and …
mechanisms. Ground camera images (images taken from ground-based camera) and …
3D property valuation in vertical cities
Y Ying - 2024 - research.utwente.nl
Property valuation can reflect the external influences of environmental and locational
attributes, allowing for adjustments to land development and urban planning policies …
attributes, allowing for adjustments to land development and urban planning policies …
An Augmented Reality Based Modular Platform for Solar Energy Education
M Dursun - Proceedings of the 2020 6th International Conference …, 2020 - dl.acm.org
In recent years, renewable energy consumption has been rapidly increasing instead of fossil
energy sources for countless reasons. Installation or maintenance of the renewable energy …
energy sources for countless reasons. Installation or maintenance of the renewable energy …
Design of 3D Point Cloud Real-Time Cloud Matching Algorithm Based on Multi-scale Feature Extraction
S Li, Y Wang, S Huang - International Conference on Computational …, 2023 - Springer
On this basis, multi-scale feature extraction method is adopted to realize real-time cloud
matching of 3D point clouds. In this project, multi-scale Harris corner is used to extract …
matching of 3D point clouds. In this project, multi-scale Harris corner is used to extract …