Procedural modeling applied to the 3D city model of Bogota: A case study

Alomia, Gustavo; Loaiza, Diego Fernando; Zúñiga, Claudia; Luo, Xun; Asorey-Cacheda, Rafael

doi:10.1016/j.vrih.2021.06.002

Cited by 14 publications

(14 citation statements)

References 18 publications

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“…Related scholars use the self-developed CityMaker three-dimensional municipal facility management information system platform to define the municipal facility type library (pipe network database) to realize three-dimensional data drive, facility editing, system analysis, and other functions, which can effectively manage underground pipe network facilities [17]. CityMaker 3D municipal facilities management information system supports GIS data, AutoCAD data, field survey form data, and other two-dimensional data-driven generation of 3D municipal facilities data [18].…”

Section: Related Workmentioning

confidence: 99%

Pipeline 3D Modeling Based on High-Definition Rendering Intelligent Calculation

Li¹,

Zhou²

2022

Mathematical Problems in Engineering

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In the processing of panoramic video, projection mapping is a very critical step. The selection of the projection mapping format will affect the performance, transmission mode, and rendering mode of the panoramic video codec. Therefore, this article starts from the projection mapping format, analyzes the mapping process of the standard mapping format, and then proposes a method of rendering panoramic video in the projection mapping format. By analyzing the parallel design schemes of swarm intelligence algorithms under different granularities, this paper proposes a parallel swarm intelligence optimization algorithm design method and then designs and implements a parallel artificial bee colony algorithm. With the help of the ArcGIS Engine development platform, this paper defines the interface for data exchange. With the support of Multipatch format data in ArcGIS software, through secondary development, the three-dimensional pipeline automatic modeling module is established, and the pipeline model is automatically generated. The digital construction and visualization of the company play a driving role. Based on the understanding of the characteristics of the pipeline image itself, combined with the analysis of the shortcomings of the existing methods, this paper proposes a new deep learning-based high-definition rendering solution for the pipeline image. In this paper, the pipeline image is preprocessed, and then the processed pipeline image is converted into a style pipeline image through the pipeline image style transfer technology, and the obtained style pipeline image is postprocessed to enhance the effect. The preprocessing of pipeline images mainly includes pipeline image enhancement and pipeline image filtering operations. Its purpose is to change the distribution of pipeline images to improve the quality of pipeline images and make them more suitable for subsequent style conversion. In the part of pipeline image style conversion, this paper proposes a new deep learning-based pipeline image high-definition rendering network, which consists of three subnetworks: pipeline image feature modeling module, feature model alignment module, and pipeline image re-rendering module. This article has conducted sufficient experiments to fully compare the processing results of the method proposed in this article and other existing methods and at the same time shows the high-quality high-definition rendering results. The experimental results verify the excellent performance of the method proposed in this paper.

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Section: Related Workmentioning

confidence: 99%

Pipeline 3D Modeling Based on High-Definition Rendering Intelligent Calculation

Li¹,

Zhou²

2022

Mathematical Problems in Engineering

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“…A 3D city model was built to represent the urban area and used in the hydrological analysis model to generate the flood stream network, whose main path would be the streets. The 3D city models can be generated as stated by [32], [33] from 2D urban data, GIS spatial data, laser scanning data, digital photogrammetry, or Open Street Maps (OSM). For this study a LOD1-3D city model was generated from building footprint using GIS.…”

Section: -3-1 3d City Modelmentioning

confidence: 99%

A new approach to determine the flood hazard impact on road network using 3D city model

Khalil

2022

JES. Journal of Engineering Sciences

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Flash flood in urban area strikes mainly the road network. In fact, the streets during flood act as streams or overland flow paths. This jams the traffic, stops the public services, and interrupts the economic activities. Previous studies have treated floods in urban areas as if they were occurring in rural areas. This study presents a new approach that treats the road network as the path of the flash flood water. The new approach uses a 3D city model as the basis for hydrology analysis. This approach regards the building and the streets as part of the terrain that results in water flowing through the streets as it does in reality. The depth of flood water in the streets is calculated and used as a risk factor. Remote Sensing (RS) and Geographical Information System (GIS) technologies are used to obtain and prepare the required input data for the hydraulic model. Various flood scenarios were investigated for different return periods and flood risk code maps for the road network were generated. The obtained results showed that 41.2% of the road network in the study area is under high flood risk from fairly frequent rainfall events, and this percentage reaches 80% to 90% for low frequent flood events (50 years and 100 years flood). The new approach was evaluated by comparing the derived results with actual flood data and had an accuracy of 77%. The results of this study may help decision makers to take the necessary actions to protect people and property.

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“…The objects in 3D are generally composed of related parts that joined from the whole object. In computer graphics, we usually use a specialized software, for instance, Maya [41] or Blender [42,43] to interactively create models or procedural 3D modeling [44][45][46][47][48] which creates a mathematical representation of a 3D object. It is common to use a few photographs as references and textures to generate models using a modeling tool.…”

Section: Introductionmentioning

confidence: 99%

“…More fundamentally, how to recover the lost third dimension of objects from a collection of 2D images is one of the main objectives of computer vision [53] and the technical challenge resolved in this work. Fortunately, the relations in 3D are preserved in 2D [42, 44,45,47,54]. Hence, we can exploit this fact by considering specific and basic elements which are related to other elements in the 2D images.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Photogrammetric Algorithm for City Built Environment Capturing into Urban Augmented Reality Model

Agbossou¹

2023

Advances in Fuzzy Logic Systems

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Cities are increasingly looking to become smarter and more resilient. Also, the use of computer vision takes a considerable place in the panoply of techniques and algorithms necessary for the 3D reconstruction of urban built environments. The models thus obtained make it possible to feed the logic of decision support and urban services thanks to the integration of augmented reality. This chapter describes and uses Fuzzy Cognitive Maps (FCM) as computing framework of visual features matching in augmented urban built environment modeling process. It is a combination of the achievements of the theory of fuzzy subsets and photogrammetry according to an algorithmic approach associated with the ARKit renderer. In this experimental research work, part of which is published in this chapter, the study area was confined to a portion of a housing estate and the data acquisition tools are in the domain of the public. The aim is the deployment of the algorithmic process to capture urban environments built in an augmented reality model and compute visual feature in stereovision within FCM framework. The comparison of the results obtained with our approach to two other well-known ones in the field, denotes the increased precision gain with a scalability factor.

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Procedural modeling applied to the 3D city model of Bogota: A case study

Cited by 14 publications

References 18 publications

Pipeline 3D Modeling Based on High-Definition Rendering Intelligent Calculation

Pipeline 3D Modeling Based on High-Definition Rendering Intelligent Calculation

A new approach to determine the flood hazard impact on road network using 3D city model

Fuzzy Photogrammetric Algorithm for City Built Environment Capturing into Urban Augmented Reality Model

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