Associative object recognition by hierarchic template matching
Stefan Karbacher · Optical Engineering · 1990
A system for associative object recognition of learned objects by hierarchic template matching is presented. It is problem independent to some extent. It is able to classify and recognize objects that are taken by a TV camera in front of a known background scene. The hierarchic steps are as follows: separation of object and background, object normalization, classification, and individual recognition. For classification each template is an archetype constructed from the learned objects of one class. Three kinds of archetypes with respect to their classification efficiency are investigated.