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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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Citations
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BIM – based approach to Building Operating Management: a Strategic Lever to achieve Efficiency, Risk-shifting, Innovation and Sustainability.

TL;DR: In this paper, a specific implementation of a BIM in building operating management is presented and discussed through the introduction of the eniservizi (a company of eni, Italian leading operator in the area of petroleum products and energy) case study, where a particular BIM layer related to Site Compliance, the body of activities related to legal and regulatory aspects, and to vendor compliance, has been created, generating a procurement control system for monitoring compliance of service contractors to contractual obligations, right from the very initial pre-qualification phases, through the service provision steps, to the
Book ChapterDOI

Architectural Symmetry Detection from 3D Urban Point Clouds: A Derivative-Free Optimization (DFO) Approach

TL;DR: The problem of ASD is formulated as a nonlinear optimization problem by extending the mathematical definition of geometric symmetry with architectural styles by developing a ‘divide-and-detect’ process to detect the symmetry hierarchy based on the formulation and applying the state-of-the-art DFO algorithms.
Journal ArticleDOI

Automated classification of piping components from 3D LiDAR point clouds using SE-PseudoGrid

TL;DR: Wang et al. as mentioned in this paper proposed a new DL framework, with the capability of establishing squeeze-excite (SE) mechanism in local aggregation operators and exploiting deep residual learning for point cloud learning, to help classify complex piping components more efficiently and robustly.
Journal ArticleDOI

The Use of Terrestrial Laser Scanning for Determining the Driver's Field of Vision.

TL;DR: The TLS possibilities in determining the driver’s field of vision in operating agricultural and forest machines with movable and immovable components in comparison to the method of using two light point sources for the creation of shade images represents a minimum time saving of 55% or more, according to the project complexity.
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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