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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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Journal ArticleDOI

Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context

TL;DR: According to the advances and limitations of the current literature, corresponding future agendas such as the implementation of comprehensive data-driven CPM scenario are proposed to bridge the gaps between theoretical research and practical demands.
Book ChapterDOI

A Semantic Web-Based Approach for Generating Parametric Models Using RDF

TL;DR: Challenges are addressed by reviewing the state-of-the-art before presenting the Semantic Web Technologies for generating parametric models using PCD as primary data and primary results are quite promising.
Posted Content

Primitive Fitting Using Deep Boundary Aware Geometric Segmentation.

TL;DR: This work proposes BAGSFit as a new framework addressing this problem of identifying and fit geometric primitives in a noisy point cloud using a fully convolutional neural network and demonstrates the superiority of this framework in both quantitative and qualitative experiments.
Journal ArticleDOI

Quantifying and mapping the evolution of a leader journal in the field of civil engineering

TL;DR: This study aims to quantify and visualize the evolution of Automation in Construction publications using bibliometric methods in terms of co-authorship network, co-citation network and thematic evolution.
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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