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» Estimating Vision Parameters given Data with Covariances
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ICPR
2010
IEEE
14 years 11 months ago
Fast Derivation of Soil Surface Roughness Parameters Using Multi-Band SAR Imagery and the Integral Equation Model
The Integral Equation Model (IEM) predicts the normalized radar cross section (NRCS) of dielectric surfaces given surface and radar parameters. To derive the surface parameters fr...
Benjamin Seppke, Leonie Dreschler-Fischer, Jo-Ann ...
79
Voted
ICCV
1998
IEEE
15 years 11 months ago
Minimizing Algebraic Error in Geometric Estimation Problems
This paper gives a widely applicable technique for solving many of the parameter estimation problems encountered in geometric computer vision. A commonly used approach is to minim...
Richard I. Hartley
BMVC
2002
15 years 2 days ago
Using Points at Infinity for Parameter Decoupling in Camera Calibration
We consider the problem of decoupling translation and rotation for a collection of 3D data related to 2D images by a projection. The main contribution is to show that equations de...
Jean-Yves Guillemaut, Alberto S. Aguado, John Illi...
ICPR
2000
IEEE
15 years 10 months ago
A Parallel Algorithm for Tracking of Segments in Noisy Edge Images
We present a parallel implementation of a probabilistic algorithm for real time tracking of segments in noisy edge images. Given an initial solution ?a set of segments that reason...
Pedro E. López-de-Teruel, Alberto Ruiz, Jos...
ECCV
2008
Springer
15 years 11 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher