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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Vision-based field inspection of concrete reinforcing bars
TL;DR: In this paper, a 3D reconstruction pipeline of Structure-from-Motion and Multi-view Stereo algorithms is used to generate a dense 3D point cloud model for field inspection.
Journal ArticleDOI
Application of TLS Method in Digitization of Bridge Infrastructures: A Path to BrIM Development
TL;DR: In this article , a slice-based approach for bridge geometric Computer-Aided Design (CAD) model extraction is presented, which is further verified and demonstrated via a case study on a cable-stayed bridge.
Book ChapterDOI
Virtual Reality and Point-Based Rendering in Architecture and Heritage
TL;DR: Today, acquisition technologies such as LIDAR (Laser Imaging Detection and Ranging) allow us to obtain high-precision georeferenced 3D scans of the real world in an easy and fast way, yielding not only precise but also realistic looking 3D models by applying advanced point-based rendering algorithms.
Journal ArticleDOI
Automatic gbXML Modeling from LiDAR Data for Energy Studies
TL;DR: An efficient and simplified procedure for the 3D modelling of buildings, based on the semi-automatic processing of point clouds acquired with mobile LiDAR scanners, designed with the aim at generating BIM, in gbXML format, from the point clouds.
Journal ArticleDOI
Clustering of wall geometry from unstructured point clouds
TL;DR: A method is presented to automatically group wall segments derived from point clouds according to the proper walls of a building using a Conditional Random Field that evaluates the context of each observation in order to determine which wall it belongs too.
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.