A GPU-friendly hybrid occlusion culling algorithm for large scenes.

In this paper, we present a novel hybrid occlusion culling method for large scale scenes. The basic idea is to use an iterative hierarchical Z-buffer occlusion culling algorithm to execute a coarse-grained culling via compute shader, followed by a fine-grained culling via rasterization. We also propose a forward warping method to generate a low resolution approximated depth map to accelerate the culling process. Our solution requires only one indirect multidraw command and runs on GPU totally without any CPU read-back operations. Our experimental results indicate that our algorithm outperforms the existing solutions both in performance and culling rate. • We propose a hybrid occlusion culling method with hierarchical structure. • We further improve the performance of our algorithm by proposing a forward warping. • Our algorithm outperforms the existing solutions in performance and culling rate. [ABSTRACT FROM AUTHOR]