dc.contributor.author | Baradad, Manel | |
dc.contributor.author | Ye, Vickie | |
dc.contributor.author | Yedidia, Adam B. | |
dc.contributor.author | Durand, Fredo | |
dc.contributor.author | Freeman, William T | |
dc.contributor.author | Wornell, Gregory W | |
dc.contributor.author | Torralba, Antonio | |
dc.date.accessioned | 2021-11-15T17:00:36Z | |
dc.date.available | 2021-11-04T19:10:29Z | |
dc.date.available | 2021-11-04T19:11:42Z | |
dc.date.available | 2021-11-15T17:00:36Z | |
dc.date.issued | 2018-06 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/137399.3 | |
dc.description.abstract | © 2018 IEEE. We present a method for inferring a 4D light field of a hidden scene from 2D shadows cast by a known occluder on a diffuse wall. We do this by determining how light naturally reflected off surfaces in the hidden scene interacts with the occluder. By modeling the light transport as a linear system, and incorporating prior knowledge about light field structures, we can invert the system to recover the hidden scene. We demonstrate results of our inference method across simulations and experiments with different types of occluders. For instance, using the shadow cast by a real house plant, we are able to recover low resolution light fields with different levels of texture and parallax complexity. We provide two experimental results: A human subject and two planar elements at different depths. | en_US |
dc.description.sponsorship | DARPA (Contract HR0011-16-C-0030) | en_US |
dc.language.iso | en | |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | 10.1109/cvpr.2018.00656 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | Computer Vision Foundation | en_US |
dc.title | Inferring Light Fields from Shadows | en_US |
dc.type | Article | en_US |
dc.identifier.citation | "Inferring Light Fields from Shadows." | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2019-05-28T13:22:22Z | |
dspace.date.submission | 2019-05-28T13:22:23Z | |
mit.metadata.status | Publication Information Needed | en_US |