A sampling and weighting technique is presented. Given a 3D model that is composed out of n separated entities, a set of parameters is obtained for each entity. A weight is calculated for each entity, giving higher weight for entities corresponding to rarer parameters. Entities are assigned to components based on their corresponding parameters. Entities are sampled based on the weights or based on the components. A new 3D model is constructed from the sampled entities.