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» A Robust Method for Estimating the Fundamental Matrix
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CVPR
2006
IEEE
15 years 3 months ago
3-D Shape Reconstruction of Retinal Fundus
We present a method for 3-D shape reconstruction of retinal fundus from fluorescein images. Our method extracts the location of vessels' bifurcation as a reliable feature for...
Tae Eun Choe, Isaac Cohen, Gérard G. Medion...
158
Voted
CVPR
2011
IEEE
14 years 9 months ago
A Closed Form Solution to Robust Subspace Estimation and Clustering
We consider the problem of fitting one or more subspaces to a collection of data points drawn from the subspaces and corrupted by noise/outliers. We pose this problem as a rank m...
Paolo Favaro, René, Vidal, Avinash Ravichandran
141
Voted
ICASSP
2008
IEEE
15 years 8 months ago
Maximum kernel density estimator for robust fitting
Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
Hanzi Wang
ICASSP
2011
IEEE
14 years 5 months ago
A basis method for robust estimation of constrained MLLR
Constrained Maximum Likelihood Linear Regression (CMLLR) is a widely used speaker adaptation technique in which an affine transform of the features is estimated for each speaker....
Daniel Povey, Kaisheng Yao
CVPR
2010
IEEE
14 years 11 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel