Computational Discovery of Hidden Cues in Photographs
Images of everyday scenes often contain hidden information that can be extracted to localize objects outside the view of the camera and to see around corners. For example, we show that it is possible to look at shadows cast by an object on a table, such as a teapot, and reconstruct an image of the s...
Main Author: | Swedish, Tristan |
---|---|
Other Authors: | Raskar, Ramesh |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
|
Online Access: | https://hdl.handle.net/1721.1/151975 |
Similar Items
-
Hidden Cues in Random Line Stereograms
by: Nishihara, H. K., et al.
Published: (2008) -
The graphic-photographic computer : aspects of interpolation
by: Lippman, Andrew Benjamin
Published: (2013) -
Expert-free eye alignment and machine learning for predictive health
by: Swedish, Tristan Breaden
Published: (2017) -
Computer-aided touch-up of photographic film
by: Low, Kin Kiong., et al.
Published: (2011) -
An institutional analysis of the architectural profession and passive solar energy : the discovery of hidden barriers.
by: Furlong, Michael
Published: (2012)