Long-term Adaptation Mechanisms For Fine-tuning Of Man-made Sensory Processing Systems
Abstract
Neurobiological systems possess a tremendous ability to adapt to the surrounding environment at multiple time-scales 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 fine-tuning 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 constraints 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.
Recommended Citation
J. G. Harris, "Long-term Adaptation Mechanisms For Fine-tuning Of Man-made Sensory Processing Systems," Proceedings of the IEEE International Conference on Systems Man and Cybernetics, vol. 4, pp. 3564 - 3569, Institute of Electrical and Electronics Engineers, Dec 1997.
Department(s)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
0884-3627
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 1997
