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Non‐Uniform B‐Spline Surface Fitting from Unordered 3D Point Clouds for As‐Built Modeling

https://doi.org/10.1111/mice.12192
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-11331-9_79openalex-snapshot
Image-Based 3D Semantic Modeling of Building Facade
inferredcites →https://doi.org/10.1007/978-3-642-59223-2openalex-snapshot
The NURBS Book
inferredcites →https://doi.org/10.1007/s00170-005-0161-3openalex-snapshot
An algorithm of NURBS surface fitting for reverse engineering
inferredcites →https://doi.org/10.1007/s00170-009-1934-xopenalex-snapshot
Identity of simultaneous estimates of control points and of their estimates by the lofting method for NURBS surface fitting
inferredcites →https://doi.org/10.1016/j.aei.2015.01.001openalex-snapshot
State of research in automatic as-built modelling
inferredcites →https://doi.org/10.1016/j.autcon.2010.06.007openalex-snapshot
Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques
inferredcites →https://doi.org/10.1016/j.autcon.2012.10.006openalex-snapshot
Automatic creation of semantically rich 3D building models from laser scanner data
inferredcites →https://doi.org/10.1016/j.autcon.2014.05.014openalex-snapshot
The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components
inferredcites →https://doi.org/10.1016/j.autcon.2014.12.015openalex-snapshot
Segmentation of building point cloud models including detailed architectural/structural features and MEP systems
inferredcites →https://doi.org/10.1016/j.cad.2006.01.014openalex-snapshot
Constrained 3D shape reconstruction using a combination of surface fitting and registration
inferredcites →https://doi.org/10.1016/j.cad.2006.04.007openalex-snapshot
Surface fitting based on a feature sensitive parametrization
inferredcites →https://doi.org/10.1016/j.cad.2012.05.004openalex-snapshot
Iteration and optimization scheme for the reconstruction of 3D surfaces based on non-uniform rational B-splines
inferredcites →https://doi.org/10.1016/j.cag.2012.03.036openalex-snapshot
A revisit to fitting parametric surfaces to point clouds
inferredcites →https://doi.org/10.1016/j.cagd.2004.07.008openalex-snapshot
Developable surface fitting to point clouds
inferredcites →https://doi.org/10.1016/j.jvcir.2013.04.006openalex-snapshot
Learning of perceptual grouping for object segmentation on RGB-D data
inferredcites →https://doi.org/10.1016/s0010-4485(03)00138-6openalex-snapshot
Parameterization of clouds of unorganized points using dynamic base surfaces
inferredcites →https://doi.org/10.1016/s0167-8396(01)00086-3openalex-snapshot
Advanced surface fitting techniques
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000329openalex-snapshot
Automatic Detection of Cylindrical Objects in Built Facilities
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000481openalex-snapshot
ArchNURBS: NURBS-Based Tool for the Structural Safety Assessment of Masonry Arches in MATLAB
inferredcites →https://doi.org/10.1061/9780784412343.0039openalex-snapshot
Testing of Depth-Encoded Hough Voting for Infrastructure Object Detection
inferredcites →https://doi.org/10.1061/9780784413029.096openalex-snapshot
Fully Automated As-Built 3D Pipeline Segmentation Based on Curvature Computation from Laser-Scanned Data
inferredcites →https://doi.org/10.1093/oso/9780198534419.001.0001openalex-snapshot
Curve and Surface Fitting with Splines
inferredcites →https://doi.org/10.1109/2945.910817openalex-snapshot
Parameterization and reconstruction from 3D scattered points based on neural network and PDE techniques
inferredcites →https://doi.org/10.1109/cvpr.2012.6247839openalex-snapshot
Schematic surface reconstruction
inferredcites →https://doi.org/10.1109/icip.1995.537578openalex-snapshot
Quantitative methods of evaluating image segmentation
inferredcites →https://doi.org/10.1109/icra.2011.5979818openalex-snapshot
On the segmentation of 3D LIDAR point clouds
inferredcites →https://doi.org/10.1109/icra.2013.6630569openalex-snapshot
Geometric data abstraction using B-splines for range image segmentation
inferredcites →https://doi.org/10.1111/(issn)1467-8667openalex-snapshot
Computer-Aided Civil and Infrastructure Engineering
inferredcites →https://doi.org/10.1111/mice.12063openalex-snapshot
A Sparsity‐Inducing Optimization‐Based Algorithm for Planar Patches Extraction from Noisy Point‐Cloud Data
inferredcites →https://doi.org/10.1145/1531326.1531379openalex-snapshot
A benchmark for 3D mesh segmentation
inferredcites →https://doi.org/10.1260/1478-0771.8.1.55openalex-snapshot
Automated 3D Reconstruction of Interiors from Point Clouds
inferredcites →https://doi.org/10.22260/isarc2011/0099openalex-snapshot
Detection, Modeling and Classification of Moldings for Automated Reverse Engineering of Buildings from 3D Data
inferredcites →https://doi.org/10.22260/isarc2015/0024openalex-snapshot
State of Research in Automatic As-Built Modelling
inferredcites →https://doi.org/10.3901/jme.2004.03.010openalex-snapshot
RESEARCH ON THE METHOD OF ACCURATE NURBS SURFACE FITTING TO SCATTERED POINTS
inferredcites →https://doi.org/10.5860/choice.31-2162openalex-snapshot
Curve and surface fitting with splines

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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