Journal ArticleDOI
Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques
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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Journal ArticleDOI
Development of high-accuracy edge line estimation algorithms using terrestrial laser scanning
TL;DR: This study developed high-accuracy edge line estimation algorithms for flat surfaces using 3D terrestrial laser scanning using numerical simulations and validation experiments and proposed algorithms leverage information from mixed pixels to improve the edgeline estimation accuracy.
Journal ArticleDOI
Practical implementation of semi-automated as-built BIM creation for complex indoor environments
TL;DR: A semi-automated approach, focusing on productive 3D as-built BIM creation for complex indoor environments, is developed and applied to model the ‘Charlotte stairs’ in Lotte World Mall, Korea, confirming the feasibility of the proposed approach in the complex indoor environment.
Journal ArticleDOI
Panoramic Image and Three-Axis Laser Scanner Integrated Approach for Indoor 3D Mapping
TL;DR: High-precision indoor three-dimensional maps are a prerequisite for building information models, indoor location-based services, etc., but the indoor mapping solution is still in the stage of technological experiment and application scenario development.
Journal ArticleDOI
Fast and Automatic Reconstruction of Semantically Rich 3D Indoor Maps from Low-quality RGB-D Sequences.
Shengjun Tang,Shengjun Tang,Yunjie Zhang,You Li,You Li,Zhilu Yuan,Yankun Wang,Xiang Zhang,Xiaoming Li,Yeting Zhang,Renzhong Guo,Weixi Wang +11 more
TL;DR: This paper proposes a fast and automatic method for reconstructing semantically rich indoor 3D building models from low-quality RGB-D sequences and proposes a new noise robustness method based on the properties of convex hull, octrees structure, Euclidean clusters and the camera trajectory for opening generation.
Journal ArticleDOI
Reconstruction of scaffolding components from photogrammetric point clouds of a construction site
TL;DR: A data-driven workflow for the detection of scaffolding components from point clouds is presented and it is shown that the points belonging to these objects are identified and then reconstructed with cylinder and cuboid models.
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.