学视觉人强烈推荐的机器视觉书籍分享
好久没有给小伙伴们分享书籍了。本期小白继续为小伙伴带来一本可读性非常高的机器视觉入门的书籍。《computer vision：models，learning and inference》，叫“computer vision”的英文书籍非常多，常常需要根据后面的内容和封面来确定到底是哪本书。那么接下来小白就让小伙伴看看这本书的封面，也就是本文推送的封面。
链接：https://pan.baidu.com/s/17byoCOhzoChHPkmIqKbbmA 密码：gplg
老规矩，小白先将本书的章节的目录放在下面，方便小伙伴们提前了解该书中的内容是否是自己需要的。
Introduction
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
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