A method of vision, called by "Patterns Aggregation", intended to satisfy some aplica-tions" in Robotic Assembly   is described in this paper. This method, which uses a structural approach, is turned towards the Artificial Intelligence, notably, by the use of a rule-based system. The model, adopted by this method, represente a some 2-D pertinent Sub-patterns of a 3-D object. This model is described by means of a Grammar called "Pattern's Grammar" (PG) . The Recognition adopts an Ascending-Descending analysis strategy. This strategy resorts to an hypothesis "Prediction-Verification" Scheme for the Confirmation (positive information) or the invalidation (negative information) of definite information in a set of images generated from a 3-D object.