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
Comparison between traditional and digital preliminary cost-estimating approaches
TL;DR: This paper is focused on the comparison between two traditional estimating methods used in the preliminary project phase and a digital method based on Building Information Modeling processes and instruments, to understand the impact of digital practices on the traditional estimating processes.
Journal ArticleDOI
System analysis of the quality of meshes in HBIM
TL;DR: In this paper, a point cloud recorded via terrestrial laser scanning in downtown Bremen, Germany that contains buildings completed in a number of different architectural styles was used to extract multiple architectural features.
Journal ArticleDOI
Scan-to-HBIM aplicado à igreja da Pampulha de Oscar Niemeyer
Camila Kimi Cogima,Rodrigo Vinicius de Carvalho Nascimento,Pedro Victor Vieira de Paiva,Marco Antonio Garcia de Carvalho,Eloisa Dezen-Kempter +4 more
TL;DR: Este estudo demonstrou o potencial do levantamento digital, incluindo sensores de baixo custo, e o HBIM for a documentação e valorização do patrimônio construído.
Posted Content
Rapid 3D Reconstruction of Indoor Environments to Generate Virtual Reality Serious Games Scenarios
TL;DR: Several workflows for the rapid and effective reconstruction of 3D indoor environments of existing buildings that are suitable for earthquake simulations are explored, including Building Information Modelling, laser scanning and 360-degree panoramas.
Journal ArticleDOI
Obstacle Detection for Autonomous Guided Vehicles through Point Cloud Clustering Using Depth Data
TL;DR: In this paper , the authors used RANSAC (random sample consensus) and Euclidean clustering algorithms to separate obstacles from the ground plane and separate them into clusters, giving information about the location of obstacles with respect to the AGV position.
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
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.