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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Book ChapterDOI
Semi-automatic Segmentation and Modelling from Point Clouds towards Historical Building Information Modelling
TL;DR: The developed approach for creating a 3D model from point clouds is promising despite some limitations, and a bridge towards HBIM is considered.
Journal ArticleDOI
Feature preserving multiresolution subdivision and simplification of point clouds: A conformal geometric algebra approach
Yuan Shuai,Shuai Zhu,Dongshuang Li,Wen Luo,Wen Luo,Zhaoyuan Yu,Zhaoyuan Yu,Linwang Yuan,Linwang Yuan +8 more
TL;DR: A new simplification algorithm is proposed based on conformal geometric algebra that has good effect not only on the local details but also on the overall error rate.
Journal ArticleDOI
Reality Capture of Buildings Using 3D Laser Scanners
TL;DR: The study finds that the quality of the data is still a major issue as it depends on the distance between the target object and 3D laser scanner’s station, and the connection between laser scanning and BIM approaches is still weak as what can be done with a point cloud data model in a BIM environment is still very limited.
Journal ArticleDOI
3d terrestrial laser scanner for managing existing building
TL;DR: In this article, the benefits of using 3D as-built for current existing buildings and highlighting some case studies from projects done by Geodelta Systems Sdn. Bhd. towards several buildings in Malaysia.
Journal ArticleDOI
A Knowledge Base for Automatic Feature Recognition from Point Clouds in an Urban Scene
TL;DR: A knowledge base comprising of ontology and semantic rules aiming at automatic feature recognition from point clouds in support of 3D modeling is proposed and several experiments are presented to show the validity of the approach to recognize different semantic features of buildings from LiDAR point clouds.
References
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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.
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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.