Multi-Perspective stereoscopy from light fields
Name
Matusik_Multi-perspective.pdf
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1.59 MB
Format
Adobe PDF
Checksum (MD5)
06568f3cc757b0bc632ea2a798206894
Author(s)
Kim, Changil
Hornung, Alexander
Heinzle, Simon
Matusik, Wojciech
Gross, Markus
Date Issued
December 2011
Journal
ACM Transactions on Graphics (TOG)
Publisher
Association for Computing Machinery (ACM)
Citation
Changil Kim, Alexander Hornung, Simon Heinzle, Wojciech Matusik, and Markus Gross. 2011. Multi-perspective stereoscopy from light fields. ACM Trans. Graph. 30, 6, Article 190 (December 2011), 10 pages.
Version
Author's final manuscript
Abstract
This paper addresses stereoscopic view generation from a light field. We present a framework that allows for the generation of stereoscopic image pairs with per-pixel control over disparity, based on multi-perspective imaging from light fields. The proposed framework is novel and useful for stereoscopic image processing and post-production. The stereoscopic images are computed as piecewise continuous cuts through a light field, minimizing an energy reflecting prescribed parameters such as depth budget, maximum disparity gradient, desired stereoscopic baseline, and so on. As demonstrated in our results, this technique can be used for efficient and flexible stereoscopic post-processing, such as reducing excessive disparity while preserving perceived depth, or retargeting of already captured scenes to various view settings. Moreover, we generalize our method to multiple cuts, which is highly useful for content creation in the context of multi-view autostereoscopic displays. We present several results on computer-generated content as well as live-action content.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2070781.2024224
