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» StaRSaC: Stable Random Sample Consensus for Parameter Estima...
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CVPR
2009
IEEE
14 years 12 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni
BMVC
2010
13 years 2 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
ICASSP
2010
IEEE
13 years 5 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
DAGM
2009
Springer
13 years 8 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann
CVPR
2011
IEEE
12 years 8 months ago
Registration of Camera Captured Documents Under Non-rigid Deformation
Document registration is a problem where the image of a template document whose layout is known is registered with a test document image. Given the registration parameters, layout...
Venkata Edupuganti, Suryaprakash Kompalli, Vinayak...