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» Estimating Vision Parameters given Data with Covariances
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BMVC
1998
13 years 8 months ago
The Precision of 3D Reconstruction from Uncalibrated Views
We consider reconstruction algorithms using points tracked over a sequence of (at least three) images, to estimate the positions of the cameras (motion parameters), the 3D coordin...
Etienne Grossmann, José Santos-Victor
CVPR
2009
IEEE
14 years 1 months ago
On bias correction for geometric parameter estimation in computer vision
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...
Takayuki Okatani, Koichiro Deguchi
ICPR
2010
IEEE
13 years 11 months ago
Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...
Caglar Ari, Selim Aksoy
DAGM
2005
Springer
14 years 7 days ago
A Fast Algorithm for Statistically Optimized Orientation Estimation
Filtering a signal with a finite impulse response (FIR) filter introduces dependencies between the errors in the filtered image due to overlapping filter masks. If the filteri...
Matthias Mühlich, Rudolf Mester
TSP
2010
13 years 1 months ago
Optimal/near-optimal dimensionality reduction for distributed estimation in homogeneous and certain inhomogeneous scenarios
We consider distributed estimation of a deterministic vector parameter from noisy sensor observations in a wireless sensor network (WSN). The observation noise is assumed uncorrela...
Jun Fang, Hongbin Li