• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 30 Issue 5
Sep.  2017
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Article Contents
ZHU Qing, CHEN Xingwang, DING Yulin, LIU Mingwei, HE Huagui, YANG Weijun, CHEN Liyan, CAO Zhenyu. Organization and Scheduling Method of 3D Urban Scene Data Driven by Visual Perception[J]. Journal of Southwest Jiaotong University, 2017, 30(5): 869-876. doi: 10.3969/j.issn.0258-2724.2017.05.005
Citation: ZHU Qing, CHEN Xingwang, DING Yulin, LIU Mingwei, HE Huagui, YANG Weijun, CHEN Liyan, CAO Zhenyu. Organization and Scheduling Method of 3D Urban Scene Data Driven by Visual Perception[J]. Journal of Southwest Jiaotong University, 2017, 30(5): 869-876. doi: 10.3969/j.issn.0258-2724.2017.05.005

Organization and Scheduling Method of 3D Urban Scene Data Driven by Visual Perception

doi: 10.3969/j.issn.0258-2724.2017.05.005
  • Received Date: 26 Dec 2016
  • Publish Date: 25 Oct 2017
  • Focusing on the problems of inefficient 3D model scheduling and low visual consistency of complex 3D urban scene visualization, a self-adaptive organization and scheduling method for 3D urban scenes driven by visual perception is proposed. Based on the spatial distribution of 3D city models, the adaptive quadtree partition was used to divide the complex 3D scene into different levels of granularity. Subsequently, traversing the quadtree from bottom to top, levels of detail (LODs) were generated for the intermediate nodes, and the geometric error of each layer was calculated to construct a flexible multi-granularity 3D tile model. Finally, visual perception parameters such as the shape, size, and height of the building model were evaluated by employing the screen error, which was used to constrain the self-adaptive scheduling of LODs. The 3D models of four LODs in Berlin were selected for an interactive 3D roaming test. The experimental results show that the rendering frame rate was more than 40 f/s based on the view-related hierarchical LOD dynamic scheduling, which could ensure efficient dynamic scheduling and visual consistency of the complex 3D urban scene in a network environment.

     

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