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Relations between deterministic (e.g. variational or PDE based methods) and Bayesian inference have been known for a long time. However, a classification of deterministic approaches into those methods which can be handled within a Bayesian framework and those with no such statistical counterpart is still missing in literature. After providing such taxonomy, we present a Bayesian framework for embedding...
In this contribution, we examine variational based motion estimation techniques, e.g. (B. Horn and B. Schunck, 1981), (A. Bruhn, et al., 2005), from a statistical point of view. The fact that all deterministic motivated methods can be described in a Bayesian framework allows the understanding of the physical meaning of the parameters which occur as free parameters in the deterministic framework. Furthermore,...
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