Adaptive object recognition based on the radial basis function paradigm

This paper presents an online model modification methodology for the recognition of objects. The methodology deals with the problem of continuously changing object characteristics used by the recognition processes. This characteristics change is due to the dynamics of scene-viewer relationship such as resolution and lighting. The approach applies a modified radial-basis function paradigm for model-based object modeling and recognition. Online adaptation of these models is developed and works in a closed loop with the object recognition system to perceive discrepancies between object models and varying object characteristics. Developed methodology is experimentally validated through experiments with a sequence of outdoor images