Bayesian-Based Motion Estimation with Flat Priors

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)153–160
JournalBayesian Inference and Maximum Entropy Methods
StatePublished - 2004


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