Journal ArticleDOI
Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques
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TLDR
This article surveys techniques developed in civil engineering and computer science that can be utilized to automate the process of creating as-built BIMs and outlines the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.About:
This article is published in Automation in Construction.The article was published on 2010-11-01. It has received 789 citations till now. The article focuses on the topics: Information model & Computer Aided Design.read more
Citations
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Journal ArticleDOI
Plane-Based Robust Registration of a Building Scan with Its BIM
TL;DR: An automated registration method is proposed that aligns the as-built point cloud of a building to its as-planned model using its planar features and proved its correct support for the registration of buildings under construction, which are inherently incomplete.
Proceedings ArticleDOI
Research on 3D laser scanning technology based on point cloud data acquisition
Jing Wang,Juan Zhang,Qingtong Xu +2 more
TL;DR: Whether light affects the accuracy of point cloud data scanned in the acquisition process by using the FARO Focus3D 120 laser scanner is explored.
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An Average Error‐Ellipsoid Model for Evaluating TLS Point‐Cloud Accuracy
TL;DR: In this paper, an average error ellipsoid model is proposed to evaluate the accuracy of terrestrial laser scanning point clouds, where the overlap between adjacent error ellipssoids and the determination of a functional relationship between the average volume of error elliptsoid and the point-cloud accuracy is investigated.
Journal ArticleDOI
Removal of occluding construction workers in job site image data using U-Net based context encoders
Ohay Angah,Albert Y. Chen +1 more
TL;DR: This work adapted a deep learning architecture, U-Net, for a direct image-to-image translation for context inpainting, and thus relaxing the fixed size and position constraints in the original Context Encoders model.
References
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Journal ArticleDOI
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
TL;DR: This paper has designed a stand-alone, flexible C++ implementation that enables the evaluation of individual components and that can easily be extended to include new algorithms.
Journal ArticleDOI
Recognition-by-Components: A Theory of Human Image Understanding.
TL;DR: Recognition-by-components (RBC) provides a principled account of the heretofore undecided relation between the classic principles of perceptual organization and pattern recognition.
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The FERET evaluation methodology for face-recognition algorithms
TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.
Proceedings ArticleDOI
A volumetric method for building complex models from range images
Brian Curless,Marc Levoy +1 more
TL;DR: This paper presents a volumetric method for integrating range images that is able to integrate a large number of range images yielding seamless, high-detail models of up to 2.6 million triangles.