Accidental pinhole and pinspeck cameras: Revealing the scene outside the picture
Name
Torralba_Accidental pinhole.pdf
Size
8.26 MB
Format
Adobe PDF
Checksum (MD5)
19c8f956e5690c97fe4a19cd3dc1ab6d
Author(s)
Torralba, Antonio
Freeman, William T.
Date Issued
June 2012
Journal
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Torralba, A., and W. T. Freeman. “Accidental Pinhole and Pinspeck Cameras: Revealing the Scene Outside the Picture.” 2012 IEEE Conference on Computer Vision and Pattern Recognition (June 2012), 16-21 June 2012, Providence, RI. IEEE, p.374-381.
Version
Author's final manuscript
Abstract
We identify and study two types of “accidental” images that can be formed in scenes. The first is an accidental pinhole camera image. These images are often mistaken for shadows, but can reveal structures outside a room, or the unseen shape of the light aperture into the room. The second class of accidental images are “inverse” pinhole camera images, formed by subtracting an image with a small occluder present from a reference image without the occluder. The reference image can be an earlier frame of a video sequence. Both types of accidental images happen in a variety of different situations (an indoor scene illuminated by natural light, a street with a person walking under the shadow of a building, etc.). Accidental cameras can reveal information about the scene outside the image, the lighting conditions, or the aperture by which light enters the scene.
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
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/CVPR.2012.6247698
