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Jeffrey A. Saunders, Diederick C. Niehorster; A Bayesian model for estimating observer translation and rotation from optic flow and extra-retinal input. Journal of Vision 2010;10(10):7. doi: https://doi.org/10.1167/10.10.7.
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© ARVO (1962-2015); The Authors (2016-present)
We present a Bayesian ideal observer model that estimates observer translation and rotation from optic flow and an extra-retinal eye movement signal. The model assumes a rigid environment and noise in velocity measurements, and that eye movement provides a probabilistic cue for rotation. The model can simulate human heading perception across a range of conditions, including: translation with simulated vs. actual eye rotations, environments with various depth structures, and the presence of independently moving objects.
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