Python计算机视觉编程

by Jan Erik Solem

本书是计算机视觉编程的权威实践指南，依赖Python语言讲解了基础理论与算法，并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。另外，书中附带的练习还能让读者巩固并学会应用编程知识。　　本书适合的读者是：有一定编程与数学基础，想要了解计算机视觉的基本理论与算法的学生，以及计算机科学、信号处理、物理学、应用数学和统计学、神经生理学、认知科学等领域的研究人员和从业者。

Genres: Programming, Artificial Intelligence, Technology

265 pages, Paperback

First published January 1, 2012

Reviews

[Xingda Wang · Rating 4 out of 5]

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 The drawback is that it's using python 2, and some of the content is already out of date, this version is written in 2012, by the time I read it, no newer version in 2019.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 · Rating 4 out of 5]

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 · Rating 3 out of 5]

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!