If we represent the shape of an object as a vector formed from a set of landmark positions, different shapes give different vectors. By examining a set of example shapes we obtain a distribution of vectors, which we model using a mixture of gaussians. This allows more specific representations of non-linear shape variations, such as rotating sub-parts [1].