Any gantral model-based vision system must somehow se lect a few serious candidates from its model base before ap plying model-directed processing. This is necessary for both efficiency and recognising 'similar* models (i.e. handling data errors, generic models and previously unseen objects). This pa per shows how one can Integrate knowledge of object properties, structural and generic relat...