TY - JOUR
T1 - Bayesian-Based Motion Estimation with Flat Priors
AU - Keren, Daniel
PY - 2004
Y1 - 2004
N2 - This paper demonstrates that in a certain class of motion estimation problems, the Bayesian technique of integrating out the “nuisance parameters” yields stable solutions even if a non‐informative (“flat”) prior on the motion parameters is used. The advantage of the suggested method is more noticeable when the domain points approach a degenerate configuration, and/or when the noise is relatively large with respect to the size of the point configuration.
AB - This paper demonstrates that in a certain class of motion estimation problems, the Bayesian technique of integrating out the “nuisance parameters” yields stable solutions even if a non‐informative (“flat”) prior on the motion parameters is used. The advantage of the suggested method is more noticeable when the domain points approach a degenerate configuration, and/or when the noise is relatively large with respect to the size of the point configuration.
U2 - https://doi.org/10.1063/1.1835209
DO - https://doi.org/10.1063/1.1835209
M3 - Article
VL - 2
SP - 153
EP - 160
JO - Bayesian Inference and Maximum Entropy Methods
JF - Bayesian Inference and Maximum Entropy Methods
ER -