filename     : Kim14a.pdf
entry        : inproceedings
conference   : International Conference on 3D Vision (3DV), Tokyo, Japan, 8-11 December, 2014
pages        : 73-80
year         : 2014
month        : December
title        : Memory Efficient Stereoscopy from Light Fields
subtitle     :
author       : Changil Kim, Ulrich Müller, Henning Zimmer, Yael Pritch, Alexander Sorkine-Hornung, Markus Gross
booktitle    : Proceedings of International Conference on 3D Vision
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editor       : 
publisher    : IEEE
publ.place   :
volume       :
issue        :
language     : English
keywords     : light fields, stereoscopy, disparity manipulation, multi-perspective imaging, variational optimization
abstract     : We address the problem of stereoscopic content generation from light fields using multi-perspective imaging. Our proposed method takes as input a light field and a target disparity map, and synthesizes a stereoscopic image pair by selecting light rays that fulfill the given target disparity constraints. We formulate this as a variational convex optimization problem. Compared to previous work, our method makes use of multi-view input to composite the new view with occlusions and disocclusions properly handled, does not require any correspondence information such as scene depth, is free from undesirable artifacts such as grid bias or image distortion, and is more efficiently solvable. In particular, our method is about ten times more memory efficient than the previous art, and is capable of processing higher resolution input. This is essential to make the proposed method practically applicable to realistic scenarios where HD content is standard. We demonstrate the effectiveness of our method experimentally.