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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
PAMI
2008
243views more  PAMI 2008»
13 years 5 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...
ICVGIP
2008
13 years 6 months ago
Monocular Depth by Nonlinear Diffusion
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Jean-Michel Morel, Philippe Salembier
ICVGIP
2004
13 years 6 months ago
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
Vinay P. Namboodiri, Subhasis Chaudhuri
ICIP
2008
IEEE
13 years 11 months ago
Regularized depth from defocus
In the area of depth estimation from images an interesting approach has been structure recovery from defocus cue. Towards this end, there have been a number of approaches [4, 6]. ...
Vinay P. Namboodiri, Subhasis Chaudhuri, Sunil Had...