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» Fundamental Matrix Estimation Without Prior Match
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ICIP
2007
IEEE
14 years 6 months ago
Fundamental Matrix Estimation Without Prior Match
This paper presents a probabilistic framework for computing correspondences and fundamental matrix in the structure from motion problem. Inspired by Moisan and Stival [1], we sugg...
Frédéric Sur, Marie-Odile Berger, Ni...
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, ...
NECO
2011
12 years 11 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
ICCV
2005
IEEE
14 years 6 months ago
Fundamental Matrix for Cameras with Radial Distortion
When deploying a heterogeneous camera network or when we use cheap zoom cameras like in cell-phones, it is not practical, if not impossible to off-line calibrate the radial distor...
João P. Barreto, Kostas Daniilidis
ICB
2007
Springer
161views Biometrics» more  ICB 2007»
13 years 8 months ago
Latent Identity Variables: Biometric Matching Without Explicit Identity Estimation
Abstract. We present a new approach to biometrics that makes probabilistic inferences about matching without ever estimating an identity "template". The biometric data is...
Simon J. D. Prince, Jania Aghajanian, Umar Mohamme...