Acta Geodaetica et Cartographica Sinica ›› 2020, Vol. 49 ›› Issue (5): 632-643.doi: 10.11947/j.AGCS.2020.20190282

• Cartography and Geoinformation • Previous Articles     Next Articles

A fast fusion object determination method for multi-path video and three-dimensional GIS scene

LIU Zhendong, DAI Zhaoxin, LI Chengming, LIU Xiaoli   

  1. Chinese Academy of Surveying and Mapping, Beijing 100830, China
  • Received:2019-07-04 Revised:2019-12-12 Published:2020-05-23
  • Supported by:
    The National Natural Science Foundation of China (No. 41871375);The Basal Research Fund of Chinese Academy of Surveying and Mapping (Nos. AR 1935;AR 1909;AR 1916;AR 1917)

Abstract: Virtual and real fusion technology is one of the key links in video enhancement of 3D geographical scene, which plays an important role in improving the real immersive visual experience. The existing video projection fusion method usually needs to traverse all the rendered objects in the new scene when the 3D scene is updated dynamically, in order to determine the objects that need to be fused in the camera range, which resulting in a long fusion process and low efficiency. A fast fusion method of multi-channel video and 3D GIS scene considering topological relationship is proposed. Firstly, a dynamic topology network model was established for video objects and rendering objects to accelerate the judgment of spatial relationship. Secondly, the topology relationship between video and rendering objects within 3D scene was established based on the topology network model, and the recorded topological relationship is used to determine and fuse the object quickly. Finally, the three-dimensional scene of Tengzhou City is verified. The experimental results show that the proposed method has the advantages of less time-consuming, high efficiency, greatly reducing the computational cost of fusion, and has good feasibility and robustness in the fusion of video and 3D GIS scene.

Key words: video, topology information, fusion object, 3D GIS scene, dynamic update

CLC Number: