Research and Implementation of the Fusion Method of the Real Image and Three Dimensional Geographical Features for VR

Abstract

In order to solve the problem that real image cannot realize the single representation of geographic entities when expressing geospatial information, a vr-oriented real image and three dimensional geographic features fusion method was proposed. Firstly, point cloud and panoramic image data around roads were collected by vehicle mobile measurement system to generate quantifiable sequencing street view and realize the spatial realization of real scene data. Then, reconstruct and encode three dimensional geographical features to make them more concise. Finally, the spatial measurable real scene image data is fused with simplified three dimensional geographical features to achieve intuitive, three dimensional and fact-based expression of three dimensional geographical space. The research results show that the proposed method can realize the effective fusion of real image and three dimensional geographical features, and provide a reference for real scene three dimensional construction.