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Visual-perception-driven Urban Three-dimensional Scene Data Scheduling Method

文献类型： 外文期刊

作者： Wang, Xiang 1 ; Shen, Tao 1 ; Huo, Liang 1 ; Zhang, Xiaoyong 1 ;

作者机构： 1.Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 100044, Peoples R China

2.Chinese Acad Fishery Sci, Beijing 100141, Peoples R China

关键词： 3D scene data scheduling; level of detail; scene graph; geographical relationship; visualperception evaluation model

期刊名称：SENSORS AND MATERIALS （ 影响因子：0.879； 五年影响因子：0.776 ）

ISSN： 0914-4935

年卷期： 2022 年 34 卷 1 期

页码：

收录情况： SCI

摘要： Toward solving the problems of low data scheduling efficiency and relative delay in rendering when constructing complex urban three-dimensional (3D) scenes, we propose a visualperception-driven strategy based on scene graphs. According to the spatial distribution characteristics of 3D scene data, this strategy uses a scene graph to organize the local 3D scene of a city. It uses a level-of-detail simplification algorithm to simplify the 3D model of the city into four resolution levels. On this basis, a visual-perception-driven strategy based on scene graphs is designed. This strategy utilizes the good relationship attributes between geographical entities provided by scene graphs to construct a visual-perception evaluation model and help constrain the adaptive scheduling of models at different detail levels. Experimental results show that this method can effectively improve the data scheduling efficiency and accelerate the construction of local 3D scenes.

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