Long-Term Adaptation Mechanisms for Fine-Tuning of Man-Made Sensory Processing Systems - Systems, Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation'., 1997 IEEE Intern

Abstmctadapt to the long-term average of the stimulus. For examNeurobiological systems possess a tremendous ability to adapt to the surrounding environment at multiple timescales and at multiple stages of processing. Though the purpose of these biological adaptation mechanisms is not clear, some theories suggest that these methods allow for the finetuning of the visual system through long-term averaging of measured visual parameters. We have developed the constant statistics model to apply these biologically plausible adaptation constraints to the design of man-made sensory systems. This paper discusses examples of long-term adaptation in the nervous system and shows how similar conple,-the constraints for the three psychophysical examples mentioned above (curvature, motion and color adaptation) may rely on the following constraints: The average line is straight. The average motion is zero. The average color is gray. The system adapts over time in the direction of this average, where the average must be taken over a very long straints can be exploited in man-made sensory processing systems. We review several examples of such biologically inspired adaptation mechanisms for such engineering problems as offset/gain correction of IR imagers, adaptive signal processing, motion estimation, and finally preliminary results in optimal scale detection in image processing. time: from minutes to hours. In the following sections, we review several examples of such biologically inspired adaptation mechanisms for such engineering problems as offset/gain correction of IR imagers, adaptive signal processing, motion estimation, and finally preliminary results in optimal scale detection in image processing.