Learning receptor positions from imperfectly known motions

Albert J. Ahumada Jr.; Jeffrey B. Mulligan

doi:10.1117/12.19665

1 October 1990 Learning receptor positions from imperfectly known motions

Albert J. Ahumada Jr., Jeffrey B. Mulligan

Proceedings Volume 1249, Human Vision and Electronic Imaging: Models, Methods, and Applications; (1990) https://doi.org/10.1117/12.19665
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

Abstract

An algorithm is described for learning image interpolation functions for sensor arrays whose sensor positions are somewhat disordered. The learning is based on failures of translation invariance, so it does not require knowledge of the images being presented to the visual system. Previously reported implementations of the method assumed the visual system to have precise knowledge of the translations. We demonstrate here that translation estimates computed from the imperfectly interpolated images can have enough accuracy to allow the learning process to converge to a correct interpolation.

Citation Download Citation

Albert J. Ahumada Jr. and Jeffrey B. Mulligan "Learning receptor positions from imperfectly known motions", Proc. SPIE 1249, Human Vision and Electronic Imaging: Models, Methods, and Applications, (1 October 1990); https://doi.org/10.1117/12.19665

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