A Unified Criterion For Minimum Uncertainty Sensing In Object Recognition And Localization
Vincenzo Caglioti · 2005
A criterion is presented for the automatic selection of a sensor detection aimed at observing the state of a system, which is described both by discrete variables and by continuous ones. The criterion is based on the expected value of the entropy variation relative to the transition associated to the sensor observation. This criterion is then applied to object recognition and localization tasks, in which the observed system is described by object class (i.e., a discrete variable) and by the object position (i.e. a vector of continuous parameters). Finally, a simple example is discussed.