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Recent advances and perspectives in deep learning techniques for 3D point cloud data processing
In recent years, deep learning techniques for processing 3D point cloud data have seen
significant advancements, given their unique ability to extract relevant features and handle …
significant advancements, given their unique ability to extract relevant features and handle …
Review of simultaneous localization and map** (SLAM) for construction robotics applications
With the increasing affordability of robot technologies and the reduction in size and weight of
autonomous systems, the deployment of autonomous robotic systems on construction sites …
autonomous systems, the deployment of autonomous robotic systems on construction sites …
Neural surface reconstruction of dynamic scenes with monocular rgb-d camera
Abstract We propose Neural-DynamicReconstruction (NDR), a template-free method to
recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D …
recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D …
Se (3) diffusion model-based point cloud registration for robust 6d object pose estimation
In this paper, we introduce an SE (3) diffusion model-based point cloud registration
framework for 6D object pose estimation in real-world scenarios. Our approach formulates …
framework for 6D object pose estimation in real-world scenarios. Our approach formulates …
Diffcomplete: Diffusion-based generative 3d shape completion
We introduce a new diffusion-based approach for shape completion on 3D range scans.
Compared with prior deterministic and probabilistic methods, we strike a balance between …
Compared with prior deterministic and probabilistic methods, we strike a balance between …
QGORE: Quadratic-time guaranteed outlier removal for point cloud registration
With the development of 3D matching technology, correspondence-based point cloud
registration gains more attention. Unfortunately, 3D keypoint techniques inevitably produce …
registration gains more attention. Unfortunately, 3D keypoint techniques inevitably produce …
Quantitative 3D structural analysis of small colloidal assemblies under native conditions by liquid-cell fast electron tomography
Electron tomography has become a commonly used tool to investigate the three-
dimensional (3D) structure of nanomaterials, including colloidal nanoparticle assemblies …
dimensional (3D) structure of nanomaterials, including colloidal nanoparticle assemblies …
Robust symmetric iterative closest point
Point cloud registration (PCR) is an important technique of 3D vision, which has been widely
applied in many areas such as robotics and photogrammetry. The iterative closest point …
applied in many areas such as robotics and photogrammetry. The iterative closest point …
[HTML][HTML] Automation of construction progress monitoring by integrating 3D point cloud data with an IFC-based BIM model
Automated construction progress monitoring using as-planned building information
modeling (BIM) and as-built point cloud data integration has substantial potential and could …
modeling (BIM) and as-built point cloud data integration has substantial potential and could …