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» Estimating demosaicing algorithms using image noise variance
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TIP
2008
115views more  TIP 2008»
14 years 11 months ago
Nonlinearities in Stereoscopic Phase-Differencing
Exploiting the quasi-linear relationship between local phase and disparity, phase-differencing registration algorithms provide a fast, powerful means for disparity estimation. Unfo...
James Monaco, Alan C. Bovik, Lawrence K. Cormack
ICCV
1998
IEEE
16 years 1 months ago
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
In this paper, we present a robust method for creating a triangulated surface mesh from multiple range images. Our method merges a set of range images into a volumetric implicit-s...
Mark D. Wheeler, Yoichi Sato, Katsushi Ikeuchi
CVPR
2006
IEEE
15 years 5 months ago
Specular Flow and the Recovery of Surface Structure
In scenes containing specular objects, the image motion observed by a moving camera may be an intermixed combination of optical flow resulting from diffuse reflectance (diffuse ...
Stefan Roth, Michael J. Black
CVPR
2009
IEEE
1626views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Coded Exposure Deblurring: Optimized Codes for PSF Estimation and Invertibility
We consider the problem of single image object motion deblurring from a static camera. It is well known that deblurring of moving objects using a traditional camera is ill-posed, d...
Amit K. Agrawal, Yi Xu
ICIP
2001
IEEE
16 years 1 months ago
Disparity map restoration by integration of confidence in Markov random fields models
This paper proposes some Markov Random Field (MRF) models for restoration of stereo disparity maps. The main aspect is the use of confidence maps provided by the Symmetric Multipl...
Andrea Fusiello, Umberto Castellani, Vittorio Muri...