1 October 1990 Learning receptor positions from imperfectly known motions
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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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Albert J. Ahumada, Albert J. Ahumada, Jeffrey B. Mulligan, 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); doi: 10.1117/12.19665; https://doi.org/10.1117/12.19665


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