Journal ArticleDOI
Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques
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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
Quantitative investigation on the accuracy and precision of Scan-to-BIM under different modelling scenarios
Mansour Esnaashary Esfahani,Christopher Rausch,Mohammad Mahdi Sharif,Qian Chen,Carl T. Haas,Bryan T. Adey +5 more
TL;DR: Insight is provided into the dimensional certainty of BIMs generated by Scan-to-BIM and helps decision-makers assess the risk of decisions made based on this information and the impacts of levels of automation and modeller training are discussed.
Proceedings ArticleDOI
Door detection in 3D colored laser scans for autonomous indoor navigation
TL;DR: This paper presents an original approach that recognizes open and closed doors in 3D laser scanned data that is robust under occlusion and efficient to slight changes in door colours resulting from varying lighting conditions experienced from different scanning locations.
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As-built 3D heritage city modelling to support numerical structural analysis: application to the assessment of an archaeological remain
TL;DR: This paper, based on the case study of the basilica in the Baelo Claudia archaeological ensemble (Tarifa, Spain), justifies the need of accurate heritage modelling against excessively simplified approaches in order to support structural safety analysis.
Proceedings ArticleDOI
Representation Requirements of As-Is Building Information Models Generated from Laser Scanned Point Cloud Data
TL;DR: Five main concepts that are unique to as-is BIMs and are not represented with existing B IMs are identified and how representing them within a BIM can provide advantages to downstream users, such as enabling decisions based on more complete data than would otherwise be possible.
Journal ArticleDOI
Performance evaluation of terrestrial laser scanners – a review
TL;DR: These efforts including recent work to develop documentary standards for TLS performance evaluation are reviewed and the role of these test procedures in establishing metrological traceability of TLS measurements are discussed.
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.
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.
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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
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.