Journal ArticleDOI
Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques
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
Construction payment automation using blockchain-enabled smart contracts and robotic reality capture technologies
Hesam Hamledari,Martin Fischer +1 more
TL;DR: In this paper, an autonomous payment administration solution, integrating blockchain-enabled smart contracts and robotic reality capture technologies, is presented. But the work is limited to two real-world commercial construction projects in Canada and United States.
Proceedings ArticleDOI
Efficient and Effective Quality Assessment of As-Is Building Information Models and 3D Laser-Scanned Data
TL;DR: The data and as-is BIM QA requirements of civil engineers are presented and it is demonstrated that the required QA information can be derived by analyzing the patterns in the deviations between the data and the as- is BIMs.
Journal ArticleDOI
Automated 3D Wireframe Modeling of Indoor Structures from Point Clouds Using Constrained Least-Squares Adjustment for As-Built BIM
TL;DR: In this article, the authors proposed a 3D geometric modeling of indoor structures, including windows and open doors, using constrained least squares adjustment according to an assumption made with respect to typical indoor structures: walls, ceiling, floor, doors, and windows are composed of straight lines, either parallel or orthogonal.
Journal ArticleDOI
3D as-is building energy modeling and diagnostics
TL;DR: This paper extensively reviews the state-of-the-art techniques that can semi-automatically or automatically create as-is geometrical and thermal models for building energy modeling and retrofit assessment purposes and provides an overview on the main algorithms used by these methods.
Journal ArticleDOI
Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry
TL;DR: A thorough review of the state-of-the-art methods and applications of voxel-based point cloud representations from a collection of papers in the recent decade is conducted, focusing on the creation and utilization ofvoxels, as well as the strengths and weaknesses of various methods using voxels.
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.
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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.
Journal ArticleDOI
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.