A Bayesian model for estimating observer translation and rotation from optic flow and extra-retinal input

J Vis. 2010 Aug 12;10(10):7. doi: 10.1167/10.10.7.

Abstract

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.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bayes Theorem*
  • Eye Movements / physiology*
  • Humans
  • Motion Perception / physiology*
  • Optic Flow / physiology*
  • Retina / physiology*