Design of Commercial Building Complex Based on 3D Landscape Interaction

Hong-fei, Wang

doi:10.1155/2022/7664803

Cited by 3 publications

(3 citation statements)

References 17 publications

(14 reference statements)

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“…Visualization models for urban planning and LoDs: Regarding landscape modeling, Wang [14] discusses using 3D landscapes in landscape design while comparing landscape modeling methods. According to the author, people tend to automatically make decisions based on physiological responses and engage more with nature when visualizing an interactive landscape.…”

Section: Methods For Efficient Workflows In 3d Building Reconstructionmentioning

confidence: 99%

Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data

Somanath,

Naserentin,

Eleftheriou

et al. 2024

Remote Sensing

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A key feature for urban digital twins (DTs) is an automatically generated detailed 3D representation of the built and unbuilt environment from aerial imagery, footprints, LiDAR, or a fusion of these. Such 3D models have applications in architecture, civil engineering, urban planning, construction, real estate, Geographical Information Systems (GIS), and many other areas. While the visualization of large-scale data in conjunction with the generated 3D models is often a recurring and resource-intensive task, an automated workflow is complex, requiring many steps to achieve a high-quality visualization. Methods for building reconstruction approaches have come a long way, from previously manual approaches to semi-automatic or automatic approaches. This paper aims to complement existing methods of 3D building generation. First, we present a literature review covering different options for procedural context generation and visualization methods, focusing on workflows and data pipelines. Next, we present a semi-automated workflow that extends the building reconstruction pipeline to include procedural context generation using Python and Unreal Engine. Finally, we propose a workflow for integrating various types of large-scale urban analysis data for visualization. We conclude with a series of challenges faced in achieving such pipelines and the limitations of the current approach. However, the steps for a complete, end-to-end solution involve further developing robust systems for building detection, rooftop recognition, and geometry generation and importing and visualizing data in the same 3D environment, highlighting a need for further research and development in this field.

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Section: Methods For Efficient Workflows In 3d Building Reconstructionmentioning

confidence: 99%

Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data

Somanath,

Naserentin,

Eleftheriou

et al. 2024

Remote Sensing

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“…Wang et al [26] have presented Design of Commercial Building Complex Depend on 3D Landscape Interaction. In this work examines, assesses the state of 3D landscape intersection in landscape design, looks into the possibility of 3D commercial building performance system used as template for large-scale urban commercial building landscape modelling in future, and makes some recommendations.…”

Section: Literature Reviewmentioning

confidence: 99%

Visualization and Interaction Model of Outdoor Landscape Design Based on Virtual Reality Technology using Optimized Sparse Spectra Graph Convolutional Neural Network

Yue Song

2024

jes

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The artistic thought of traditional garden landscape design has significant effect on garden art, architectural theory, gardening theory are also inextricably linked. In modern gardens, traditional architecture lacks applicability to construction of garden painting environment. In this Manuscript, Visualization and Interaction Model of Outdoor Landscape Design Based on Virtual Reality Technology using Optimized Sparse Spectra is Graph Convolutional Neural Network is proposed (VIM-OLD-VRT-SSGCNN).Initially the data is collected fromArcbazer.com data. Afterwards sparse spectra graph convolutional neural network (SSGCNN) is used to design the Outdoor Landscape. In Generally, SSGCNN doesn’t expose some adoption of optimization systems for calculating optimal parameters for exactly design the Outdoor Landscape. Hence, Piranha Foraging optimization Algorithm (PFOA) is proposed to optimize SSGCNN which precisely design Outdoor Landscape. Finally Visualization and Interaction Model of Outdoor Landscape Designed. The proposed VIM-OLD-VRT-SSGCNN method is implemented python and performance metrics likes accuracy, precision, F1-score, sensitivity, specificity, computational time, RoC are evaluated. The performance of VIM-OLD-VRT-SSGCNN method provides 18.31%, 20.72%, 21.67% greater accuracy, 17.83%, 18.42%, 20.38% greater precision and 21.75%, 22.36%, 23.59% greater computational time while compared with existing techniques like Utilizing Deep Learning to Generate Font with Backyards in Landscape Architecture(UDL-GFB-LA), Urban Landscape Design Depend on Data Fusion with Computer Virtual Reality Technology (ULD-DF-CVRT),perception of urban sounds cape and landscape utilizing different visual environment reproduction techniques in virtual reality (PUSL-DVER-VR) respectively.

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“…From the application prospect, the three-dimensional visualization results of tourist attractions can be applied in tourism professional courses as well as tour guide qualification examination, tourism disaster prevention and control, virtual planning, assisting in the selection of the best comprehensive benefits of the program, optimize the program argumentation method, both to save time and improve efficiency [15][16]. Showing the scenic landscape, the tourist attractions will be made into interactive virtual reality scenes and placed on the network, to achieve the sharing of information around the world.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional Visualisation of Cultural Landscape under the Perspective of Culture and Tourism Integration

Lai

2024

Applied Mathematics and Nonlinear Sciences

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The three-dimensional visualization evaluation of cultural landscape has practical needs and theoretical significance in today’s world. Based on the perspective of cultural and tourism integration, the study adopts the method of stepwise regression analysis to explore the factors influencing the satisfaction of cultural landscape with a historical and cultural neighborhood landscape as the research sample. On this basis, it discusses the 3D visualization modeling process of cultural landscapes. It realizes the 3D visualization construction of a historical and cultural park, uses a questionnaire survey to collect relevant data, combines the principal component analysis method and IPA model to evaluate its visualization results, and divides different elemental functions. As a result, nine influencing factors with significant impact on the satisfaction of cultural landscape were obtained, with architectural style, traffic accessibility, and landscape scope being the most prominent, and the regression coefficients were 0.589, 0.435, and 0.367, respectively. The key performance elements of the three-dimensional visualization of the cultural landscape need to be improved, such as the reasonableness of the historical inference, the applicability of the technology, the sense of place, the sense of reality, the sense of aesthetics, the interactivity, and so on. The research presented in this paper can offer insights and lessons for the future design of cultural landscapes and their 3D visualization process.

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Design of Commercial Building Complex Based on 3D Landscape Interaction

Cited by 3 publications

References 17 publications

Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data

Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data

Visualization and Interaction Model of Outdoor Landscape Design Based on Virtual Reality Technology using Optimized Sparse Spectra Graph Convolutional Neural Network

Three-dimensional Visualisation of Cultural Landscape under the Perspective of Culture and Tourism Integration

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