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» A Robust Method for Estimating the Fundamental Matrix
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ICASSP
2011
IEEE
12 years 8 months ago
A single snapshot optimal filtering method for fundamental frequency estimation
Recently, optimal linearly constrained minimum variance (LCMV) filtering methods have been applied for fundamental frequency estimation. Like many other fundamental frequency est...
Jesper Rindom Jensen, Mads Groesboll Christensen, ...
BMVC
2002
13 years 7 months ago
A New Constrained Parameter Estimator: Experiments in Fundamental Matrix Computation
In recent work the authors proposed a wide-ranging method for estimating parameters that constrain image feature locations and satisfy a constraint not involving image data. The p...
Anton van den Hengel, Michael J. Brooks, Wojciech ...
CVPR
2007
IEEE
14 years 6 months ago
On the Direct Estimation of the Fundamental Matrix
The fundamental matrix is a central construct in the analysis of images captured from a pair of cameras and many feature-based methods have been proposed for its computation. In t...
Yaser Sheikh, Asaad Hakeem, Mubarak Shah
ICASSP
2011
IEEE
12 years 8 months ago
Study of robustness of zero frequency resonator method for extraction of fundamental frequency
The objective of this work is to develop and study the robustness of the zero frequency resonator (ZFR) based method for extraction of the fundamental frequency (F0) of speech sig...
Bayya Yegnanarayana, S. R. Mahadeva Prasanna, S. G...
ICPR
2000
IEEE
13 years 9 months ago
A General Rank-2 Parameterization of the Fundamental Matrix
All the methods for estimating the fundamental matrix do not naturally exploit the rank-2 constraint. For these reason some few rank-2 parameterizations of the fundamental matrix ...
Francesco Isgrò, Emanuele Trucco