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.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
Self-Organized Model Fitting Method for Railway Structures Monitoring Using LiDAR Point Cloud
TL;DR: A new approach to detect the structures in-line with railway track geometry such as railway crossings, turnouts and quantitatively estimate their dimensions and spatial location by iteratively applying a vertical slice to point cloud data for long distance laser measurement is proposed.
Proceedings ArticleDOI
Comparison of Image-Based and Manual Field Survey Methods for Indoor As- Built Documentation Assessment
TL;DR: In this paper, two classrooms are captured using photogrammetric image processing software and image-based dimensions are compared to dimensions gathered through a traditional manual survey yielding an average percent error of approximately 2%.
Journal ArticleDOI
Building information model visualisation in augmented reality
Vishak Dudhee,Vladimir Vukovic +1 more
TL;DR: It can be concluded that model positioning can be inaccurate depending on the superimposing method used and the AR device, showing a need to integrate data from Internet of Things sensors into the current BIM-AR processes to allow visualisation of accurate and high-quality operational building information.
Development architecture for industrial data management
TL;DR: Standardized information modeling is important for interoperability of CAx systems and existing information standards such as ISO 10303 STEP have been proposed and developed for decades for this purpose.
Proceedings ArticleDOI
Generating As-is Building Information Models for Facility Management by Leveraging Heterogeneous Existing Information Sources: A Case Study
Bo Gu,Semiha Ergan,Burcu Akinci +2 more
TL;DR: The research described in this paper targets the generation of accurate and semantically-rich as-is BIMs by leveraging heterogeneous existing information sources, such as drawings and operation and maintenance manuals, through detailed case studies done in two old academic buildings.
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.