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» Robust estimation for sparse data
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3DPVT
2004
IEEE
231views Visualization» more  3DPVT 2004»
15 years 1 months ago
A Variational Analysis of Shape from Specularities using Sparse Data
Looking around in our every day environment, many of the encountered objects are specular to some degree. Actively using this fact when reconstructing objects from image sequences...
Jan Erik Solem, Henrik Aanæs, Anders Heyden
CORR
2008
Springer
129views Education» more  CORR 2008»
14 years 10 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
PAMI
2010
146views more  PAMI 2010»
14 years 8 months ago
A Generalized Kernel Consensus-Based Robust Estimator
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
Hanzi Wang, Daniel Mirota, Gregory D. Hager
CVPR
2011
IEEE
14 years 5 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
ICIP
2009
IEEE
15 years 10 months ago
Weighted Average Denoising With Sparse Orthonormal Transforms
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...