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» A new method for camera motion parameter estimation
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ICASSP
2011
IEEE
12 years 11 months ago
Joint Bayesian removal of impulse and background noise
We present a method for the removal of noise including nonGaussian impulses from a signal. Impulse noise is removed jointly a homogenous Gaussian noise floor using a Gabor regres...
James Murphy, Simon J. Godsill
CVPR
2012
IEEE
11 years 10 months ago
Locally Orderless Tracking
Locally Orderless Tracking (LOT) is a visual tracking algorithm that automatically estimates the amount of local (dis)order in the object. This lets the tracker specialize in both...
Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avid...
CVPR
2012
IEEE
11 years 10 months ago
Globally optimal hand-eye calibration
This paper introduces simultaneous globally optimal hand-eye self-calibration in both its rotational and translational components. The main contributions are new feasibility tests...
Thomas Ruland, Tomás Pajdla, Lars Krüg...
CVPR
2012
IEEE
11 years 10 months ago
Real-time image-based 6-DOF localization in large-scale environments
We present a real-time approach for image-based localization within large scenes that have been reconstructed offline using structure from motion (Sfm). From monocular video, our...
Hyon Lim, Sudipta N. Sinha, Michael F. Cohen, Matt...
IJCV
2000
133views more  IJCV 2000»
13 years 7 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer