Analytical Motion Blur Rasterization with Compression

Abstract

We present a rasterizer, based on time-dependent edge equations, that computes analytical visibility in order to render accurate motion blur. The theory for doing the computations in a rasterization framework is derived in detail, and then implemented. To keep the frame buffer requirements low, we also present a new oracle-based compression algorithm for the time intervals. Our results are promising in that high quality motion blurred scenes can be rendered using a rasterizer with rather low memory requirements. Our resulting images contain motion blur for both opaque and transparent objects.