Research on Virtual–Real Occlusion Fusion Technology Based on Terrain Information

DOI: https://doi.org/10.62517/jes.202602237

Author(s)

Yang Lu*, Deyou Xu, Haibo Lu

Affiliation(s)

Army Arms University, Nanjing, Jiangsu, China *Corresponding Author

Abstract

To address the core problem that, in augmented reality training scenarios, existing technologies can hardly balance the accuracy of terrain-occlusion determination and computational efficiency when large virtual targets are fused with real environments, this paper proposes a virtual–real occlusion fusion method based on terrain information. This method constructs a complete technical pipeline of “data preprocessing-model optimization-spatial alignment-occlusion determination.” Through key algorithms such as feature-preserving lightweight processing of terrain models, high-precision spatial alignment based on multi-source pose fusion, and rapid occlusion determination driven by terrain parameters, a systematic solution suitable for wide-area geographic scenarios is formed. Experimental results show that, while preserving critical terrain features and ensuring the accuracy of occlusion determination, the proposed method greatly reduces model computational overhead and significantly improves the real-time rendering performance and visual consistency of large virtual target fusion, thereby providing reliable technical support for the application of wide-area scenarios in simulation training.

Keywords

Augmented Reality; Virtual-Real Occlusion; Terrain Information; Large-Scale Terrain; Real-Time Rendering

References

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