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 ISSN/ISBN : 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.