DocumentCode
2712268
Title
Accidental pinhole and pinspeck cameras: Revealing the scene outside the picture
Author
Torralba, Antonio ; Freeman, William T.
Author_Institution
Comput. Sci. & Artificial Intell. Lab. (CSAIL), MIT, Cambridge, MA, USA
fYear
2012
fDate
16-21 June 2012
Firstpage
374
Lastpage
381
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.
Keywords
cameras; computer vision; image sequences; accidental images; accidental pinhole camera; accidental pinspeck camera; image shadows; image subtraction; indoor scene; inverse pinhole camera images; light aperture; natural light; picture; reference image; small occluder; video sequence; Apertures; Cameras; Lighting; Sensors; Shape; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
Conference_Location
Providence, RI
ISSN
1063-6919
Print_ISBN
978-1-4673-1226-4
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2012.6247698
Filename
6247698
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