Given a stereo pair it is possible to recover a depth map and use that depth to
render a synthetically defocused image. Though stereo algorithms are well-studied,
rarely are those algorithms considered solely in the context of producing these
defocused renderings. In this paper we present a technique for efficiently
producing disparity maps using a novel optimization framework in which inference is
performed in "bilateral-space". Our approach produces higher-quality "defocus"
results than other stereo algorithms while also being 10-100 times faster than