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» Learning Shape from Defocus
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ECCV
2008
Springer
14 years 7 months ago
Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities
We consider the problem of reconstructing a smooth surface under constraints that have discrete ambiguities. These problems arise in areas such as shape from texture, shape from sh...
Ady Ecker, Allan D. Jepson, Kiriakos N. Kutulakos
ECCV
2004
Springer
14 years 7 months ago
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
We propose a solution to the problem of inferring the depth map, radiance and motion of a scene from a collection of motion-blurred and defocused images. We model motion-blur and d...
Paolo Favaro, Martin Burger, Stefano Soatto
3DPVT
2006
IEEE
155views Visualization» more  3DPVT 2006»
13 years 11 months ago
The Reverse Projection Correlation Principle for Depth from Defocus
In this paper, we address the problem of finding depth from defocus in a fundamentally new way. Most previous methods have used an approximate model in which blurring is shift in...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
IJCV
2000
225views more  IJCV 2000»
13 years 5 months ago
Depth from Defocus vs. Stereo: How Different Really Are They?
Depth from Focus (DFF) and Depth from Defocus (DFD) methods are theoretically unified with the geometric triangulation principle. Fundamentally, the depth sensitivities of DFF and ...
Yoav Y. Schechner, Nahum Kiryati
CVPR
2009
IEEE
1094views Computer Vision» more  CVPR 2009»
15 years 7 days ago
Uncalibrated Synthetic Aperture Photography for Defocus Control
Exaggerated defocus cannot be achieved with an ordinary compact digital camera because of its tiny sensor size, so taking pictures that draw the attention of a viewer to the subjec...
Natsumi Kusumoto, Shinsaku Hiura, Kosuke Sato