Vision as Bayesian inference: analysis by synthesis?

@article{Yuille2006VisionAB,
  title={Vision as Bayesian inference: analysis by synthesis?},
  author={Alan L. Yuille and Daniel D Kersten},
  journal={Trends in Cognitive Sciences},
  year={2006},
  volume={10},
  pages={301-308}
}
We argue that the study of human vision should be aimed at determining how humans perform natural tasks with natural images. Attempts to understand the phenomenology of vision from artificial stimuli, although worthwhile as a starting point, can lead to faulty generalizations about visual systems, because of the enormous complexity of natural images. Dealing with this complexity is daunting, but Bayesian inference on structured probability distributions offers the ability to design theories of… CONTINUE READING
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