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
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Geotechnical and safety protective equipment planning using range point cloud data and rule checking in building information modeling
TL;DR: In this article, a method is presented that semi-automatically identifies fall and cave-in hazards related to excavation pits and models, among other temporary geotechnical excavation objects, the required fall protection equipment.
Journal ArticleDOI
Toward Automated Earned Value Tracking Using 3D Imaging Tools
TL;DR: In this paper, the authors proposed a more accurate and frequent construction progress tracking method for project systems such as cost, schedule control, and billing, which is based on the conventional progress track.
Journal ArticleDOI
Automatic method for building indoor boundary models from dense point clouds collected by laser scanners.
TL;DR: A method that automatically yields Boundary Representation Models (B-rep) for indoors after processing dense point clouds collected by laser scanners from key locations through an existing facility is presented.
Journal ArticleDOI
Toward automatic generation of 3D steel structures for building information modelling
Debra F. Laefer,Linh Truong-Hong +1 more
TL;DR: In this paper, a method to identify automatically structural steel members from a terrestrial laser scan point cloud and to generate that geometry in a BIM compatible format was proposed, where proper shape and dimensions of the cross-section were established by employing kernel density estimation.
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Computational Methods of Acquisition and Processing of 3D Point Cloud Data for Construction Applications
Qian Wang,Yi Tan,Zhongya Mei +2 more
TL;DR: The state-of-the-art methods to acquire and process 3D point cloud data for construction applications are reviewed and the different processing methods and algorithms are compared and discussed in detail, which provides a useful guidance to both researchers and industry practitioners for adopting point cloudData in the construction industry.
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.
Journal ArticleDOI
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.