Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Applied Sciences  /  Vol: 12 Par: 20 (2022)  /  Artículo
ARTÍCULO
TITULO

Research on the Symbolic 3D Route Scene Expression Method Based on the Importance of Objects

Fulin Han    
Liang Huo    
Tao Shen    
Xiaoyong Zhang    
Tianjia Zhang and Na Ma    

Resumen

In the study of 3D route scene construction, the expression of key targets needs to be highlighted. This is because compared with the 3D model, the abstract 3D symbols can reflect the number and spatial distribution characteristics of entities more intuitively. Therefore, this research proposes a symbolic 3D route scene representation method based on the importance of the object. The method takes the object importance evaluation model as the theoretical basis, calculates the spatial importance of the same type of objects according to the spatial characteristics of the geographical objects in the 3D route scene, and constructs the object importance evaluation model by combining semantic factors. The 3D symbols are then designed in a hierarchical manner on the basis of the results of the object importance evaluation and the CityGML standard. Finally, the LOD0-LOD4 symbolic 3D railway scene was constructed on the basis of a railroad data to realise the multi-scale expression of symbolic 3D route scene. Compared with the conventional loading method, the real-time frame rate of the scene was improved by 20 fps and was more stable. The scene loading speed was also improved by 5?10 s. The results show that the method can effectively improve the efficiency of the 3D route scene construction and the prominent expression effect of the key objects in the 3D route scene.

 Artículos similares

       
 
Fanzhi Jiang, Liumei Zhang, Kexin Wang, Xi Deng and Wanyan Yang    
Recent studies demonstrate that algorithmic music attracted global attention not only because of its amusement but also its considerable potential in the industry. Thus, the yield increased academic numbers spinning around on topics of algorithm music ge... ver más
Revista: Applied Sciences

 
Roberta Calegari, Giovanni Ciatto, Enrico Denti and Andrea Omicini    
Together with the disruptive development of modern sub-symbolic approaches to artificial intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more and more researchers exploit their potential to make AI more comprehensible, ... ver más
Revista: Information

 
B. A. Nizomutdinov,A. S. Tropnikov,A. B. Uglova     Pág. 64 - 71
On the basis of the conducted empirical research of information images of users, the leading components of network self-presentation were revealed: statistical, socio-demographic component, visual component and value-semantic component. The authors analy... ver más

 
Giuseppe Futia and Antonio Vetrò    
Deep learning models contributed to reaching unprecedented results in prediction and classification tasks of Artificial Intelligence (AI) systems. However, alongside this notable progress, they do not provide human-understandable insights on how a specif... ver más
Revista: Information

 
Luana Balador Belisário, Luiz Gabriel Ferreira and Thiago Alexandre Salgueiro Pardo    
Texts published on social media have been a valuable source of information for companies and users, as the analysis of this data helps improving/selecting products and services of interest. Due to the huge amount of data, techniques for automatically ana... ver más
Revista: Information