Fast Bilateral-Space Stereo for Synthetic Defocus

Jonathan T. Barron, Andrew Adams, YiChang Shih, Carlos Hernandez; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 4466-4474

Abstract

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 comparable techniques.

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[bibtex]
@InProceedings{Barron_2015_CVPR,
author = {Barron, Jonathan T. and Adams, Andrew and Shih, YiChang and Hernandez, Carlos},
title = {Fast Bilateral-Space Stereo for Synthetic Defocus},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2015}
}