Learning OpenCV

Learning OpenCV pdf epub mobi txt 電子書 下載2025

Gary Bradski博士是斯坦福大學人工智能實驗室的顧問教授,也是Willow Garage公司機器人學研究協會的資深科學傢。

Adrian Kaehler博士,Applied Minds公司的資深科學傢,從事機器學習、統計建模、計算機視覺和機器人學方麵的研究。

出版者:O'Reilly Media
作者:Gary Bradski
出品人:
頁數:575
译者:
出版時間:2008-10-4
價格:USD 49.99
裝幀:Paperback
isbn號碼:9780596516130
叢書系列:
圖書標籤:
  • OpenCV 
  • 計算機視覺 
  • ComputerVision 
  • 圖像處理 
  • 機器視覺 
  • 編程 
  • 模式識彆 
  • 計算機 
  •  
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Description

Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data. With this book, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications.

Full Description

Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data.

Computer vision is everywhere -- in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It helps robot cars drive by themselves, stitches Google maps and Google Earth together, checks the pixels on your laptop's LCD screen, and makes sure the stitches in your shirt are OK.

OpenCV provides an easy-to-use computer vision infrastructure along with a comprehensive library containing more than 500 functions that can run vision code in real time. With Learning OpenCV, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications.

The book includes:

* A thorough introduction to OpenCV

* Getting input from cameras

* Transforming images

* Shape matching

* Pattern recognition, including face detection

* Segmenting images

* Tracking and motion in 2 and 3 dimensions

* Machine learning algorithms

Hands-on exercises at the end of each chapter help you absorb the concepts, and an appendix explains how to set up an OpenCV project in Visual Studio. OpenCV is written in performance optimized C/C++ code, runs on Windows, Linux, and Mac OS X, and is free for commercial and research use under a BSD license.

Getting machines to see is a challenging but entertaining goal. If you're intrigued by the possibilities, Learning OpenCV gets you started on building computer vision applications of your own.

具體描述

讀後感

評分

说实话 国内外目前比较好的 值得深入一读的书籍不多,此书值得深入读下去,不仅涉及到我所研究的图像图形,还有视频类的处理。opencv里很多代码都是基于C的,比较好懂,而且图像视频从感官上来说是一个容易吸引人的领域,从学术角度讲,有理论有理论,有实践有实践,是标准的工...  

評分

本书充满了丰富的应用OpenCV编程的例子,对于OpenCV库函数的介绍也大多是通过例子的方式完成的。可以说,这样厚厚的一本书,对于OpenCV 1.0中的几乎所有的库函数均有所涉及。我认为,与传统的手册型Manual具有不同的风格,该书更像是一个OpenCV的工作人员在叙说整个OpenCV的方...  

評分

OpenCV(Open source Computer Vision library,开放计算机视觉库)由Intel发起,采用C/C++编写,追求性能优化,跨平台,帮助新生从一个高的起点开始视觉研究,避免闭门造车。    在CentOS-2.6.32中安装OpenCV-2.2.0步骤: (1)安装相关依赖工程(本人只装了yasm、ffmpeg、...  

評分

OpenCV(Open source Computer Vision library,开放计算机视觉库)由Intel发起,采用C/C++编写,追求性能优化,跨平台,帮助新生从一个高的起点开始视觉研究,避免闭门造车。    在CentOS-2.6.32中安装OpenCV-2.2.0步骤: (1)安装相关依赖工程(本人只装了yasm、ffmpeg、...  

評分

这本《学习OpenCV》是O’Reilly出品于2008年,旋即由刘瑞祯和于仕琪在国内翻译出版。 相比国人介绍函数使用方法的书,《学习OpenCV》的着眼点则更多的回到图形图像,配合专业基础的脉络来介绍OpenCV。 作为基础教程,那类似于Hello World是一定要的,而一本书的好坏,从Hello...  

用戶評價

评分

書確實是本經典好書,隻可惜講的是1.0版C語言實現的接口;GitHub上看瞭下已經幾乎全部換成C++實現,而且據說2.X版本接口變化很大;所以暫時隻粗略翻瞭下,以後想深入瞭解理論的話也許會再迴過頭來細看;目前除瞭官方文檔,可能帶實例的入門類書籍更適閤我。

评分

太老瞭吧

评分

書確實是本經典好書,隻可惜講的是1.0版C語言實現的接口;GitHub上看瞭下已經幾乎全部換成C++實現,而且據說2.X版本接口變化很大;所以暫時隻粗略翻瞭下,以後想深入瞭解理論的話也許會再迴過頭來細看;目前除瞭官方文檔,可能帶實例的入門類書籍更適閤我。

评分

OpenCV作者寫的書,是最好的OpenCV教材

评分

很不錯的入門材料

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