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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.

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Citations
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Journal ArticleDOI

Quantitative analysis of blind tower-crane lifts using laser-scanning information

TL;DR: In this article, the authors used laser scanning data to quantitatively assess blind lifts with respect to their rate and spatial distribution, and found that 28 per cent of the analyzed crane's work area represented by the model were found to be invisible.
Journal ArticleDOI

Classification of photogrammetric point clouds of scaffolds for construction site monitoring using subspace clustering and pca

TL;DR: An approach for the classification of photogrammetric point clouds of scaffolding components in a construction site, aiming at making a preparation for the automatic monitoring of construction site by reconstructing an as-built Building Information Model (as-built BIM).
Journal ArticleDOI

Structure-From-Motion Approach to the Reconstruction of Surfaces for Earthwork Planning

TL;DR: In this paper, a novel surface reconstruction technique for modeling and quantifying earthworks that can be used for preliminary planning, project updates and estimating of earthwork quantities, as well as embedded planning systems in construction equipment is presented.
Proceedings ArticleDOI

Image-based 3D mapping of rebar location for automated assessment of safe drilling areas prior to placing embedments in concrete bridge decks

TL;DR: In this article, the locations of the rebar and embedded components in a railway bridge deck prior to placement of concrete are automatically generated using a 3D point cloud and the reconstructed point cloud is transformed into the site coordinate system.
Journal ArticleDOI

Object verification based on deep learning point feature comparison for scan-to-BIM

TL;DR: Wang et al. as mentioned in this paper presented a novel object verification approach based on deep learning point feature comparison to improve the accuracy of automated BIM reconstruction process, which can successfully filter out all the false positives in the Scan-to-BIM process, improving reconstruction accuracy significantly.
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.
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

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.
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