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.