3D Reconstruction and Rendering Models in Urban Architectural Design Using Kalman Filter Correction Algorithm

Kaihong Wang,Xuelun Guan,Xin Ning

doi:10.1155/2022/8530795

Kaihong Wang, Xuelun Guan + Show 1 more

Open Access

https://doi.org/10.1155/2022/8530795

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Abstract

In a virtual 3D city scene, a 3D building model is a must-have element. A 3D reconstruction and rendering algorithm is described in this paper. Model geometry and texture data are simplified separately using LOD model technology. Half-folded mesh algorithm is used to simplify geometric data, while wavelet algorithm is used to compress texture data. Both methods reduce the amount of data that must be stored as well as the amount of data that must be transmitted over the network. To improve the response time of the original algorithm, a Kalman filter correction algorithm is used to optimize the 3D reconstruction beam adjustment algorithm. In this paper, the experimental scheme is used to assess the method. Experiments show that the algorithm reduces the number of primitives drawn by the system while preserving the important geometric features of the scene’s building model. It can also effectively reduce the workload of drawing 3D scenes, improve computer productivity, and reduce computer hardware requirements. This technique is well suited to rendering large-scale 3D urban scenes.

Highlights

With the development of social economy and cities in China and the need of new urbanization, how to ensure the coordinated development of economy, culture, science and technology, politics, etc. of cities and follow the development concept of being people-oriented put forward new requirements and challenges for city managers [1]
The city is a symbol of the digital earth, and it is an indispensable part in the construction of the digital earth. 3D model visualization of urban landscape is one of the important technologies of digital city, which is widely used in many fields such as architecture, transportation, and urban planning [2]
Aiming at the problem that existing 3D reconstruction and rendering algorithms cannot meet the needs of 3D reconstruction of urban landscape, this paper proposes a 3D reconstruction algorithm based on Kalman filter correction and a terrain rendering algorithm based on level of detail (LOD)

Summary

Introduction

With the development of social economy and cities in China and the need of new urbanization, how to ensure the coordinated development of economy, culture, science and technology, politics, etc. of cities and follow the development concept of being people-oriented put forward new requirements and challenges for city managers [1]. 3D model visualization of urban landscape is one of the important technologies of digital city, which is widely used in many fields such as architecture, transportation, and urban planning [2]. Traditional urban planning is to build a two-dimensional urban spatial information management system with the support of Geographic Information System (GIS) technology, which can meet the basic needs of city managers such as information query and result display, and the needs of urban development simulation and spatial analysis cannot be well solved due to technical problems. With the rapid development of digital city and the continuous expansion of the application field of urban 3D spatial model, the demand for 3D model of urban buildings is growing. The simulation results show that the algorithm proposed in this paper works well in the application of 3D reconstruction of urban landscape.

Related Work

Methodology

Analysis and Discussion

Conclusions