Within a Bayesian framework, the feature similarity term in (3) can be used to define a likelihood function: (4) where D denotes observed data, x represents a set of feature points at which the features are measured, ?? is a parameter, H is a model (hypothesis or template) and Zb(x,??) is a normalizing factor. 3.2.