Efficient Terrain Rendering Using Irregular Dataset

초록

Terrain visualization is essential in interactive computer games and GIS applications. Advanced 3D scanning technologies such as LIDAR enable us to obtain dense and accurate irregular terrain dataset. However, unlike the regular sampled dataset such as DEM and DTED, irregular dataset cannot be fast rendered due to random distribution of samples. We propose the fast and efficient terrain rendering method using large-scale irregular dataset. It reconstructs the geometry by converting irregular dataset into regular one through resampling input data with regular interval considering the spatial distribution of sample points. It can generate animated scene by applying quad-tree based rendering method to converted dataset. Experimental results show that its image quality is not deteriorated in comparison to the result of rendering reconstructed geometric models.