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ECCV
2004
Springer
13 years 10 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
PAMI
2006
126views more  PAMI 2006»
13 years 4 months ago
Estimation of Nonlinear Errors-in-Variables Models for Computer Vision Applications
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints separable into the product of two nonlinear functions, ...
Bogdan Matei, Peter Meer
JRTIP
2007
112views more  JRTIP 2007»
13 years 4 months ago
Robust real-time tracking by fusing measurements from inertial and vision sensors
Abstract The problem of estimating and predicting position and orientation (pose) of a camera is approached by fusing measurements from inertial sensors (accelerometers and rate gy...
Jeroen D. Hol, Thomas B. Schön, Henk Luinge, ...
BMVC
2010
13 years 2 months ago
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and i...
Sam Johnson, Mark Everingham
CVPR
2000
IEEE
14 years 6 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer