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

Opencv数字图像处理交流群:168464432,欢迎大家加入群交流学习,共同进步,在群里大家可以探讨有关数字图像处理,机器视觉领域的前沿和技术问题,一起努力提高。验证信息:豆瓣网 Opencv数字图像处理交流群:168464432,欢迎大家加入群交流学习,共同进步,在群里大家可...  

評分

作者从与Sebastian Thrun研发Stanley以及与Andrew Ng研究Stair开始。 这本书的内容有点过时,不过对于了解opencv的起源和基本架构还是很有帮助的。 IPP库的应用,说明起初的opencv更加偏向底层 在所有资料里,这本书对于图像处理基本算法的分析解释应该是最简明最清楚的 p273 ...  

評分

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...  

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

作者从与Sebastian Thrun研发Stanley以及与Andrew Ng研究Stair开始。 这本书的内容有点过时,不过对于了解opencv的起源和基本架构还是很有帮助的。 IPP库的应用,说明起初的opencv更加偏向底层 在所有资料里,这本书对于图像处理基本算法的分析解释应该是最简明最清楚的 p273 ...  

用戶評價

评分

其實還沒自己看...

评分

讀的中文版的,講解的還是很清楚的,也不拖泥帶水!

评分

比較基礎,不過因為我是用的python包,所以很多函數的形式都變瞭。

评分

opencv經典入門書

评分

讀的中文版的,講解的還是很清楚的,也不拖泥帶水!

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