Active object recognition: Looking for differences

This paper introduces an information-based methodology for view selection t hat actively exploits prior knowledge about the objects to be found in a sc ene. The methodology is used to implement an active recognition strategy wh ich effectively puts prior constraints from the object database into the ga ze control (planning) loop. Theoretical results are presented and discussed along with promising experimental data.