DocumentCode
2402506
Title
Recovery of relative depth from a single observation using an uncalibrated (real-aperture) camera
Author
Namboodiri, Vinay P. ; Chaudhuri, Subhasis
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol., Mumbai
fYear
2008
fDate
23-28 June 2008
Firstpage
1
Lastpage
6
Abstract
In this paper we investigate the challenging problem of recovering the depth layers in a scene from a single defocused observation. The problem is definitely solvable if there are multiple observations. In this paper we show that one can perceive the depth in the scene even from a single observation. We use the inhomogeneous reverse heat equation to obtain an estimate of the blur, thereby preserving the depth information characterized by the defocus. However, the reverse heat equation, due to its parabolic nature, is divergent. We stabilize the reverse heat equation by considering the gradient degeneration as an effective stopping criterion. The amount of (inverse) diffusion is actually a measure of relative depth. Because of ill-posedness we propose a graph-cuts based method for inferring the depth in the scene using the amount of diffusion as a data likelihood and a smoothness condition on the depth in the scene. The method is verified experimentally on a varied set of test cases.
Keywords
gradient methods; graph theory; image processing; blur estimation; defocused observation; gradient degeneration; graph-cuts; real-aperture camera; reverse heat equation; scene depth; stopping criterion; Cameras; Computer vision; Equations; Focusing; Humans; Layout; Lenses; Shape; Testing; Virtual private networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location
Anchorage, AK
ISSN
1063-6919
Print_ISBN
978-1-4244-2242-5
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2008.4587779
Filename
4587779
Link To Document