Computer Vision
11. Perceptual psychology and cognition. Vision as model-building. 12. Lessons from neurological trauma and de cits. Visual illusions. 13. Bayesian inference in vision. Classi ers; probabilistic methods. 14. Appearance-based versus model-based vision. Query languages. 15. Vision as a set of inverse problems. Regularisation. 16.
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