Adoption of Convolutional Neural Network Algorithm Combined with Augmented Reality in Building Data Visualization and Intelligent Detection
Autor: | Jingjing Tang, Haotian Tang, Minghui Wei, Rui Zhao, Xiaohui Gai, Renying Lin |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Data processing
Multidisciplinary General Computer Science Degree (graph theory) Article Subject Computer science business.industry Fluids & Plasmas 0211 other engineering and technologies 02 engineering and technology QA75.5-76.95 Convolutional neural network Convolution Visualization Data visualization Electronic computers. Computer science 021105 building & construction 0102 Applied Mathematics 0103 Numerical and Computational Mathematics 0802 Computation Theory and Mathematics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Augmented reality Artificial intelligence business |
Zdroj: | Complexity, Vol 2021 (2021) |
Popis: | It aims to improve the degree of visualization of building data, ensure the ability of intelligent detection, and effectively solve the problems encountered in building data processing. Convolutional neural network and augmented reality technology are adopted, and a building visualization model based on convolutional neural network and augmented reality is proposed. The performance of the proposed algorithm is further confirmed by performance verification on public datasets. It is found that the building target detection model based on convolutional neural network and augmented reality has obvious advantages in algorithm complexity and recognition accuracy. It is 25 percent more accurate than the latest model. The model can make full use of mobile computing resources, avoid network delay and dependence, and guarantee the real-time requirement of data processing. Moreover, the model can also well realize the augmented reality navigation and interaction effect of buildings in outdoor scenes. To sum up, this study provides a research idea for the identification, data processing, and intelligent detection of urban buildings. |
Databáze: | OpenAIRE |
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