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。
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.
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...
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、...
這本書其實還是工具書,初學的話,把圖像矩陣的基礎知識那幾章讀瞭就行。後麵用的時候,大部分時候都是直接Google的
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。
评分很不錯的入門材料
评分你以為我願意讀啊.........
评分很不錯的入門材料
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