Research on a high-precision virtual scene generation algorithm

Mengbo Wang

doi:10.1117/12.3026160

1 April 2024 Research on a high-precision virtual scene generation algorithm

Mengbo Wang

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130820O (2024) https://doi.org/10.1117/12.3026160
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

With the rapid development of VR technology, the accuracy of virtual scene construction has also increased. This article proposes a high-precision virtual scene generation algorithm. On the basis of reducing the low data utilization during the modeling process, we cleverly use programmatic methods to generate the accuracy values of the building. At the same time, the building facade is processed as block units, and the model texture details are fed back to the block units through neural network learning algorithms. Using target detection algorithms for target recognition and related optimization to improve the accuracy of object layout within the model and seek the optimal layout solution. Finally, combined with VR rapid generation technology, the model is transformed into components in the virtual scene, and the virtual scene is constructed using the design of three parts: existing scenes, cross end collaboration, and roaming display in the original model library. The results show that the finished product displayed to users using this algorithm has a higher degree of restoration.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mengbo Wang "Research on a high-precision virtual scene generation algorithm", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130820O (1 April 2024); https://doi.org/10.1117/12.3026160

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