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A CNN-based 3D patch registration approach for integrating sequential models in support of progress monitoring

https://doi.org/10.1016/j.aei.2019.100923
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Wide area localization and tracking on camera phones for mobile augmented reality systems
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Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction
inferredcites →https://doi.org/10.1016/j.aei.2011.08.009openalex-snapshot
Plane-based registration of construction laser scans with 3D/4D building models
inferredcites →https://doi.org/10.1016/j.aei.2012.02.011openalex-snapshot
Real-time construction worker posture analysis for ergonomics training
inferredcites →https://doi.org/10.1016/j.aei.2015.01.011openalex-snapshot
Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future
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An approach to combine progressively captured point clouds for BIM update
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Automated registration of multi-view point clouds using sphere targets
inferredcites →https://doi.org/10.1016/j.aei.2018.01.001openalex-snapshot
A deep learning-based method for detecting non-certified work on construction sites
inferredcites →https://doi.org/10.1016/j.aei.2018.06.001openalex-snapshot
Automated continuous construction progress monitoring using multiple workplace real time 3D scans
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Progressive 3D reconstruction of infrastructure with videogrammetry
inferredcites →https://doi.org/10.1016/j.autcon.2013.01.005openalex-snapshot
Fully automated registration of 3D data to a 3D CAD model for project progress monitoring
inferredcites →https://doi.org/10.1016/j.autcon.2013.08.012openalex-snapshot
Automated progress control using laser scanning technology
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.2014.08.010openalex-snapshot
Image-based modeling of built environment from an unmanned aerial system
inferredcites →https://doi.org/10.1016/j.autcon.2016.06.016openalex-snapshot
Data acquisition technologies for construction progress tracking
inferredcites →https://doi.org/10.1016/j.autcon.2017.06.016openalex-snapshot
Automatic point cloud coarse registration using geometric keypoint descriptors for indoor scenes
inferredcites →https://doi.org/10.1016/j.autcon.2017.10.027openalex-snapshot
Interior construction state recognition with 4D BIM registered image sequences
inferredcites →https://doi.org/10.1016/j.autcon.2018.01.014openalex-snapshot
4-Plane congruent sets for automatic registration of as-is 3D point clouds with 3D BIM models
inferredcites →https://doi.org/10.1016/j.cad.2008.10.012openalex-snapshot
Robust principal axes determination for point-based shapes using least median of squares
inferredcites →https://doi.org/10.1016/j.infrared.2016.03.006openalex-snapshot
Recognizing pedestrian’s unsafe behaviors in far-infrared imagery at night
inferredcites →https://doi.org/10.1016/j.isprsjprs.2014.06.015openalex-snapshot
Keypoint-based 4-Points Congruent Sets – Automated marker-less registration of laser scans
inferredcites →https://doi.org/10.1016/j.neucom.2015.10.104openalex-snapshot
Dense 3D reconstruction combining depth and RGB information
inferredcites →https://doi.org/10.1061/(asce)0887-3801(2009)23:3(170)openalex-snapshot
Comparison of Optical Sensor-Based Spatial Data Collection Techniques for Civil Infrastructure Modeling
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0000565openalex-snapshot
Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0001428openalex-snapshot
Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000343openalex-snapshot
Tracking the Built Status of MEP Works: Assessing the Value of a Scan-vs-BIM System
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000837openalex-snapshot
Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images
inferredcites →https://doi.org/10.1061/9780784412329.094openalex-snapshot
Comparison of Image-Based and Time-of-Flight-Based Technologies for 3D Reconstruction of Infrastructure
inferredcites →https://doi.org/10.1080/02533839.2008.9671456openalex-snapshot
Registration of ground‐based LiDAR point clouds by means of 3D line features
inferredcites →https://doi.org/10.1109/34.121791openalex-snapshot
A method for registration of 3-D shapes
inferredcites →https://doi.org/10.1109/cvpr.2013.20openalex-snapshot
Joint 3D Scene Reconstruction and Class Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299195openalex-snapshot
Robust reconstruction of indoor scenes
inferredcites →https://doi.org/10.1109/cvpr.2017.29openalex-snapshot
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
inferredcites →https://doi.org/10.1109/cvpr.2018.00212openalex-snapshot
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
inferredcites →https://doi.org/10.1109/iccv.2013.458openalex-snapshot
SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels
inferredcites →https://doi.org/10.1109/iros.2008.4650967openalex-snapshot
Aligning point cloud views using persistent feature histograms
inferredcites →https://doi.org/10.1109/robot.2009.5152473openalex-snapshot
Fast Point Feature Histograms (FPFH) for 3D registration
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
inferredcites →https://doi.org/10.1145/1360612.1360684openalex-snapshot
4-points congruent sets for robust pairwise surface registration
inferredcites →https://doi.org/10.1145/237170.237269openalex-snapshot
A volumetric method for building complex models from range images
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1186/2213-7459-1-10openalex-snapshot
Spatial and visual data fusion for capturing, retrieval, and modeling of as-built building geometry and features
inferredcites →https://doi.org/10.1364/josaa.8.000377openalex-snapshot
Affine structure from motion
inferredcites →https://doi.org/10.15302/j-fem-2018012openalex-snapshot
The origins of schedule management: the concepts used in planning, allocating, visualizing and managing time in a project
inferredcites →https://doi.org/10.22260/isarc2015/0047openalex-snapshot
Planning for Scanning Using Building Information Models: A Novel Approach with Occlusion Handling
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inferredcites →https://doi.org/10.5244/c.26.112openalex-snapshot
Moving Volume KinectFusion

What points at this work

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

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