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ECCV
2004
Springer
13 years 11 months ago
Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis
Recent research provided several new and fast approaches for the class of parameter estimation problems that are common in computer vision. Incorporation of complex noise model (mo...
Matthias Mühlich, Rudolf Mester
JIRS
2011
124views more  JIRS 2011»
12 years 8 months ago
EKF-Based Localization of a Wheeled Mobile Robot in Structured Environments
Abstract This paper deals with the problem of mobile-robot localization in structured environments. The extended Kalman filter (EKF) is used to localize the fourwheeled mobile robo...
Luka Teslic, Igor Skrjanc, Gregor Klancar
SAC
2008
ACM
13 years 5 months ago
Local linear regression with adaptive orthogonal fitting for the wind power application
For short-term forecasting of wind generation, a necessary step is to model the function for the conversion of meteorological variables (mainly wind speed) to power production. Su...
Pierre Pinson, Henrik Aalborg Nielsen, Henrik Mads...
CVPR
2008
IEEE
14 years 7 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...
ICASSP
2011
IEEE
12 years 9 months ago
Robust hyperspectral signal unmixing in the presence of correlated noise
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions ...
Masoud Farzam, Soosan Beheshti