LiDAR Point Clouds to 3-D Urban Models : A Review

Three-dimensional (3-D) urban models are an integral part of numerous applications, such as urban planning and performance simulation, mapping and visualization, emergency response training and entertainment, among others. We consolidate various algorithms proposed for reconstructing 3-D models of u...

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Vydáno v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 11; číslo 2; s. 606 - 627
Hlavní autoři:	Wang, Ruisheng, Peethambaran, Jiju, Chen, Dong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.02.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptability Adaptation Adaptation models Airborne laser scanning (ALS) airborne light detection and ranging Algorithms Atmospheric modeling Buildings Computer graphics Computer simulation Computer vision Consolidation Electricity Emergency preparedness Emergency response Exploration façade modeling Finite element method Graphics Image reconstruction Lidar light detection and ranging (LiDAR) mobile laser scanning (MLS) mobile LiDAR Modelling Photogrammetry point clouds Power lines powerline (PL) reconstruction Reconstruction Regularity Remote sensing road modeling rooftop modeling Statuary Submarine pipelines surface reconstruction Symmetry terrestrial laser scanning (TLS) Three dimensional models Three-dimensional displays Topology Training tree modeling Urban areas urban models Urban planning Utilities
ISSN:	1939-1404, 2151-1535
On-line přístup:	Získat plný text
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Popis
Shrnutí:	Three-dimensional (3-D) urban models are an integral part of numerous applications, such as urban planning and performance simulation, mapping and visualization, emergency response training and entertainment, among others. We consolidate various algorithms proposed for reconstructing 3-D models of urban objects from point clouds. Urban models addressed in this review include buildings, vegetation, utilities such as roads or power lines and free-form architectures such as curved buildings or statues, all of which are ubiquitous in a typical urban scenario. While urban modeling, building reconstruction, in particular, clearly demand specific traits in the models, such as regularity, symmetry, and repetition; most of the traditional and state-of-the-art 3-D reconstruction algorithms are designed to address very generic objects of arbitrary shapes and topology. The recent efforts in the urban reconstruction arena, however, strive to accommodate the various pressing needs of urban modeling. Strategically, urban modeling research nowadays focuses on the usage of specialized priors, such as global regularity, Manhattan-geometry or symmetry to aid the reconstruction, or efficient adaptation of existing reconstruction techniques to the urban modeling pipeline. Aimed at an in-depth exploration of further possibilities, we review the existing urban reconstruction algorithms, prevalent in computer graphics, computer vision and photogrammetry disciplines, evaluate their performance in the architectural modeling context, and discuss the adaptability of generic mesh reconstruction techniques to the urban modeling pipeline. In the end, we suggest a few directions of research that may be adopted to close in the technology gaps.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	1939-1404 2151-1535
DOI:	10.1109/JSTARS.2017.2781132