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Journal ArticleDOI

Knowledge based reconstruction of building models from terrestrial laser scanning data

TLDR
An automatic method for reconstruction of building facade models from terrestrial laser scanning data, using knowledge about the features’ sizes, positions, orientations, and topology to recognize these features in a segmented laser point cloud.
Abstract
This paper presents an automatic method for reconstruction of building facade models from terrestrial laser scanning data. Important facade elements such as walls and roofs are distinguished as features. Knowledge about the features’ sizes, positions, orientations, and topology is then introduced to recognize these features in a segmented laser point cloud. An outline polygon of each feature is generated by least squares fitting, convex hull fitting or concave polygon fitting, according to the size of the feature. Knowledge is used again to hypothesise the occluded parts from the directly extracted feature polygons. Finally, a polyhedron building model is combined from extracted feature polygons and hypothesised parts. The reconstruction method is tested with two data sets containing various building shapes.

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Citations
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Journal ArticleDOI

Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques

TL;DR: 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.
Journal Article

Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST

TL;DR: A survey of state-of-the-art methods for automated as-built BIM creation can be found in this article, where the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.
Journal ArticleDOI

Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data

TL;DR: A method to automatically convert the raw 3D point data from a laser scanner positioned at multiple locations throughout a facility into a compact, semantically rich information model that is capable of identifying and modeling the main visible structural components of an indoor environment despite the presence of significant clutter and occlusion.
Journal ArticleDOI

CityGML – Interoperable semantic 3D city models

TL;DR: An overview of CityGML, its underlying concepts, its Levels-of-Detail, how to extend it, its applications, its likely future development, and the role it plays in scientific research are given.
Journal ArticleDOI

A Survey of Urban Reconstruction

TL;DR: The goal is to provide a survey that will help researchers to better position their own work in the context of existing solutions, and to help newcomers and practitioners in computer graphics to quickly gain an overview of this vast field.
References
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Journal ArticleDOI

Distinctive Image Features from Scale-Invariant Keypoints

TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
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The quickhull algorithm for convex hulls

TL;DR: This article presents a practical convex hull algorithm that combines the two-dimensional Quickhull algorithm with the general-dimension Beneath-Beyond Algorithm, and provides empirical evidence that the algorithm runs faster when the input contains nonextreme points and that it used less memory.
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Detailed Real-Time Urban 3D Reconstruction from Video

TL;DR: A system for automatic, geo-registered, real-time 3D reconstruction from video of urban scenes that extends existing algorithms to meet the robustness and variability necessary to operate out of the lab and shows results on real video sequences comprising hundreds of thousands of frames.
Journal ArticleDOI

Two algorithms for extracting building models from raw laser altimetry data

TL;DR: Two new techniques for the determination of building models from laser altimetry data are presented, both of which work on the original laser scanner data points without the requirement of an interpolation to a regular grid.
Journal ArticleDOI

Extraction of buildings and trees in urban environments

TL;DR: Two methods for data collection in urban environments are presented and the first combines multispectral imagery and laser altimeter data in an integrated classification for the extraction of buildings, trees and grass-covered areas.
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