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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.
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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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Image-based construction of building energy models using computer vision

TL;DR: An image-based 3D reconstruction pipeline that supports the semi-automated modeling of existing buildings is presented and developed two methods for the robust estimation of the building planes from a 3D point cloud that independently estimate each plane and impose a perpendicularity constraint to plane estimation.
Journal ArticleDOI

3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review

TL;DR: In this article , a survey of point cloud datasets that were automatically processed with machine learning methods in the construction and infrastructure domains is presented, with a reference for researchers to acknowledge the state-of-the-art applications of automatically-processed point cloud models.
Journal ArticleDOI

Exploitation of Geometric Data provided by Laser Scanning to Create FEM Structural Models of Bridges

TL;DR: The aim of this paper is to provide an easy and practical methodology that allows the conversion of point clouds into FEM models so that daily real cases of engineering can take the benefit of the precise geometrical description to subsequently carry out the structural assessment of bridges in service.
Proceedings ArticleDOI

Toward Automated Spatial Change Analysis of MEP Components Using 3D Point Clouds and As-Designed BIM Models

TL;DR: A novel relational-graph-based framework for automated spatial change analysis of MEP components is presented, which extract objects and spatial relationships from 3D laser scanned point clouds, and use relational structures of objects in data and designed BIM models for fusing 3D data and as-designed BIM.
Journal ArticleDOI

Investigation of the correlation of building energy use intensity estimated by six building performance simulation tools

TL;DR: In this article, the authors investigated the correlation of building energy use intensities, estimated by six building performance simulation programs and established formulas for conversion of each program to another in selected simulation tools.
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.
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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.
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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

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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