Inferring Light Fields from Shadows
Name
Baradad_Inferring_Light_Fields_CVPR_2018_paper.pdf
Description
Published version
Size
1.7 MB
Format
Unknown
Checksum (MD5)
594c4dc7c415a31ca002fa4e196f1653
Author(s)
Baradad, Manel
Ye, Vickie
Yedidia, Adam B.
Durand, Fredo
Freeman, William T
Wornell, Gregory W
Torralba, Antonio
Date Issued
June 2018
Publisher
IEEE
Citation
"Inferring Light Fields from Shadows."
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/cvpr.2018.00656
