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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.
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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.

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Proceedings ArticleDOI

Object-sensitive potential fields for mobile robot navigation and mapping in indoor environments

TL;DR: The proposed algorithm allowed for more intelligent navigation of mobile robots in cluttered environments by taking into account the categorization of obstacles.
Journal ArticleDOI

Development of an unwanted-feature removal system for Structure from Motion of repetitive infrastructure piers using deep learning

TL;DR: A deep learning-based system was developed to assist the removal of unwanted features by using a deep convolutional neural network to segment and remove unwanted features from the input images before processing into an SfM application, and the results showed that the removalof unwanted features increased the number of cloud points inside the ROI.
Journal ArticleDOI

Luminance distribution projection method in dynamic floodlight design for architectural features

TL;DR: A new way of shaping the luminance distribution on the real architectural object is presented, based on a system which comprises the multimedia projector widely used for currently popular event shows, and a personal computer with a computer application.
Journal ArticleDOI

Obtaining as-built models of manufacturing plants from point clouds

TL;DR: This article reviews approaches to capture a scene by point measurements and to reconstruct the geometry of its components given specific object models, and identifies technology gaps and specify the degree of maturity of the related techniques.
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

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.
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