Per-Vertex Defocus Blur for Stochastic Rasterization

Jacob Munkberg
Intel Corporation

Robert Toth
Intel Corporation

Tomas Akenine-Möller
Lund University /
Intel Corporation

Computer Graphics Forum (Eurographics Symposium on Rendering), vol. 31, no. 4, pp. 1385-1389, 2012.

Abstract

We present user-controllable and plausible defocus blur for a stochastic rasterizer. We modify circle of confusion coefficients per vertex to express more general defocus blur, and show how the method can be applied to limit the foreground blur, extend the in-focus range, simulate tilt-shift photography, and specify per-object defocus blur. Furthermore, with two simplifying assumptions, we show that existing triangle coverage tests and tile culling tests can be used with very modest modifications. Our solution is temporally stable and handles simultaneous motion blur and depth of field.

Downloads

An author generated version of the paper. [pdf 8.6 MB] bibtex

Video [mp4 50 MB]

Last update: Thursday, 10-Sep-2009 13:23:22 CEST
Page Manager: Jonas Wisbrant
Publisher: Department of Computer Science