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ACCV
2007
Springer
15 years 10 months ago
Evolving Measurement Regions for Depth from Defocus
Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
131
Voted
CVPR
2008
IEEE
15 years 5 months ago
Recovery of relative depth from a single observation using an uncalibrated (real-aperture) camera
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...
Vinay P. Namboodiri, Subhasis Chaudhuri
CVPR
2012
IEEE
13 years 6 months ago
Depth from optical turbulence
Turbulence near hot surfaces such as desert terrains and roads during the summer, causes shimmering, distortion and blurring in images. While recent works have focused on image re...
Yuandong Tian, Srinivasa G. Narasimhan, Alan J. Va...
ICCV
1999
IEEE
16 years 6 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe
ECCV
2006
Springer
16 years 6 months ago
From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage
Diffusion processes driven by anisotropic diffusion tensors are known to be well-suited for structure-preserving denoising. However, numerical implementations based on finite diffe...
Martin Welk, Joachim Weickert, Gabriele Steidl