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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Proceedings ArticleDOI
The segmentation of a point cloud using locally fitted surfaces
TL;DR: The proposed method is capable of improving the accuracy of the segmentation by 5%, while reducing the computation time in comparison to the state-of-the-art.
Journal ArticleDOI
An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds
TL;DR: Wang et al. as discussed by the authors proposed an encoder-decoder deep learning method combined with point cloud techniques for multi-class object segmentation, including seepage, from 3D tunnel point clouds.
Dissertation
Developing a BIM-based methodology to support renewable energy assessment of buildings
TL;DR: In this article, the authors developed a methodology to support renewable energy simulation by using architectural BIM models based on open data exchange standards, thereby enhancing their interoperability, and implemented it in a solar PV simulation model by means of a prototype.
Proceedings ArticleDOI
Evaluation of Industry Foundation Classes for Practical Building Information Modeling Interoperability
Alireza Golabchi,Vineet R. Kamat +1 more
TL;DR: This study has investigated the current state of interoperability between software products used as Building Information Modeling tools and focused on a popularly used format for BIM models, Industry Foundation Classes (IFC), since it has been specifically developed to enable standardized data exchange.
Journal ArticleDOI
Point cloud semantic segmentation of complex railway environments using deep learning
TL;DR: In this article , a deep learning methodology for semantic segmentation of railway infrastructures is presented, which segments both linear and punctual elements from railway infrastructure, and it is tested in four scenarios: i) 90 km-long railway, ii) 2 km-l low-quality point clouds, iii) 400 m-long high quality point clouds; iv) 1.4 km-length railway recoded with aerial mapping system, and the longest one was used for training and testing, obtaining mean accuracy greater than 90%.
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.