Programming Computer Vision with Python: Tools and algorithms for analyzing images

by Jan Erik Solem

If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python. Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.

Genres: Programming, Technology, Artificial Intelligence

260 pages, Paperback

First published January 1, 2012

Reviews

[Xingda Wang]

The book is good, and give some light on how to solve particular cases with different models. The drawback is that it's using python 2, and some of the content is already out of date, this version is written in 2012, by the time I read it, no newer version in 2019.

[Bob]

Very hands-on introduction to computer vision. You need a background in Vision or need to use in conjunction with a theory book such as "Feature Extraction & Image Processing for Computer Vision".

[Bryan Ma]

Yeah will need to re-do this one after some remedial mathematics. :/

[Dwight Walker]

I like Python and computer vision is very hot in IT research!