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      • Computer Vision: Models, Learning, and Inference - Prince
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  • Introduction ... »

Computer Vision: Models, Learning, and Inference - Prince¶

  • Introduction to Probability
  • Common Probability Distributions
  • Fitting Probability Models
  • The Normal Distribution
  • Learning and Inference in Vision
  • Modeling Complex Data Densities
  • Regression Models
  • Classification Models
  • Graphical Models
  • Models for Chains and Trees
  • Models for Grids
  • Image Preprocessing and Feature Extraction
  • The Pinhole Camera
  • Models for Transformations
  • Multiple Cameras
  • Models for Shape
  • Models for Style and Identity
  • Temporal Models
  • Models for Visual Words

References

Pri12

Simon JD Prince. Computer vision: models, learning, and inference. Cambridge University Press, 2012.

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