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» Shape from Defocus via Diffusion
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PAMI
2008
243views more  PAMI 2008»
13 years 4 months ago
Shape from Defocus via Diffusion
Defocus can be modeled as a diffusion process and represented mathematically using the heat equation, where image blur corresponds to the diffusion of heat. This analogy can be ext...
Paolo Favaro, Stefano Soatto, Martin Burger, Stanl...
ECCV
2004
Springer
14 years 6 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
CVPR
2010
IEEE
1814views Computer Vision» more  CVPR 2010»
14 years 2 months ago
Depth from Diffusion
An optical diffuser is an element that scatters light and is commonly used to soften or shape illumination. In this paper, we propose a novel depth estimation method that places a ...
Changyin Zhou, Oliver Cossairt, Shree Nayar
ECCV
2002
Springer
14 years 6 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
ICIP
2001
IEEE
14 years 6 months ago
FM halftoning via block error diffusion
Error diffusion halftoning is a popular method of producing frequency modulated (FM)halftones. In FM halftoning the dot size and shape is fixed (equal to one pixel) and the dot fr...
Niranjan Damera-Venkata, Brian L. Evans