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TitleComputer vision : models, learning, and inference
Author Simon J.D. Prince
Imprint New York : Cambridge University Press, 2012
Descript xi, 580 p. : ill. (some col.) ; 26 cm

CONTENT

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 -- Optimization -- Linear algebra


Computer vision

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