Hyperplane Culling for Stochastic Rasterization
We present two novel culling tests for rasterization of simultaneous depth of field and motion blur. These tests efficiently reduce the set of xyuvt samples that need to be coverage tested within a screen space tile. The first test finds linear bounds in ut - and vt -space using a separating line algorithm. We also derive a hyperplane in xyuvt - space for each triangle edge, and all samples outside
