学习 Open CV(影印版)图书
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学习 Open CV(影印版)

学习0penCV》将你置身于迅速发展的计算机视觉领域。本书作者是免费开源0penCV的发起人,这本书为你介绍了计算机视觉,例证了如何迅速建立使计算机能"看"的应用程序,以及如何基于计算机获取的数据作出决策。 计算...
  • 所属分类:图书 >计算机/网络>影印版  
  • 作者:(美)[布拉德斯基],(美)[克勒] 著
  • 产品参数:
  • 丛书名:--
  • 国际刊号:9787564116293
  • 出版社:东南大学出版社
  • 出版时间:2009-04
  • 印刷时间:2009-04-01
  • 版次:1
  • 开本:16开
  • 页数:--
  • 纸张:胶版纸
  • 包装:平装
  • 套装:

内容简介

学习0penCV》将你置身于迅速发展的计算机视觉领域。本书作者是免费开源0penCV的发起人,这本书为你介绍了计算机视觉,例证了如何迅速建立使计算机能"看"的应用程序,以及如何基于计算机获取的数据作出决策。

计算机视觉几乎随处可见:安全系统、管理检验系统、医学图像分析、无人机等。它将Google地图和Google地球结合在一起,在LCD屏幕上核对像素,确保衬衫上的每一个针脚都缝合。OpenCV提供了一个简易实用的计算机视觉框架以及一个含有超过500种可以实时运行视觉代码的函数的综合库。《学习OpenCV》在每一章里教授任何OpenCV的开发者或热爱者如何在这些实战经验的帮助下迅速掌握该软件。这本书包括了如下内容:

对0penCV详尽的介绍

从照相机中导入图片

转换图像

分割图像和形状匹配

模式识别,包括人脸检测

两到三个计量单位间的跟踪和运动

立体视觉中的3D再现

机器学习算法

使机器能看见是一个具有挑战却又充满乐趣的目标。无论你是想建立一个简单的还是复杂的视觉应用程序,《学习OpenCV》都是你入门的必备教材。

编辑推荐

"这本宝库对专业人员来讲非常有用,对初涉这个领域的人们也是个绝好的工具。像其宣传的那样,它是一组计算机视觉算法。"

——William T.Freeman.

麻省理工学院计算机科学与人工智能实验室"《学习0penCV》即将占据每从从事计算机视觉领域的人的书架上显著的一处。"

——David Lowe,英属哥

作者简介

伦比亚大学计算机科学教授Gary Rost BradSki博士,斯坦福大学人工智能实验室的顾问教授,也是Willow Garage公司机器;人学研究协会的博学科学家。Ad rian Kaehler博士,Applied Mind S公司的博学科学家,从事机器学习、统计建模、计算机视觉和机器人学方面的研究。

目录

Preface

1. Overview

What Is OpenCV?

Who Uses OpenCV?

What Is Computer Vision?

The Origin of OpenCV

Downloading and Installing OpenCV

Getting the Latest OpenCV via CVS

More OpenCV Documentation

OpenCV Structure and Content

Portability

Exercises

2. Introduction to OpenCV

Getting Started

First Program--Display a Picture

Second Program--AVI Video

Moving Around

A Simple Transformation

A Not-So-Simple Transformation

Input from a Camera

Writing to an AVI File

Onward

Exercises

3. Gettingto KnowOpenCV

OpenCV Primitive Data Types

CvMat Matrix Structure

IplImage Data Structure

Matrix and Image Operators

Drawing Things

Data Persistence

Integrated Performance Primitives

Summary

Exercises

4. HighGUI

A Portable Graphics Toolkit

Creating a Window

Loading an Image

Displaying Images

Working with Video

ConvertImage

Exercises

5. Image Processing

Overview

Smoothing

Image Morphology

Flood Fill

Resize

Image Pyramids

Threshold

Exercises

6. Image Transforms

Overview

Convolution

Gradients and Sobel Derivatives

Laplace

Canny

Hough Transforms

Remap

Stretch, Shrink, Warp, and Rotate

CartToPolar and PolarToCart

LogPolar

Discrete Fourier Transform (DFT

Discrete Cosine Transform (DCT

Integral Images

Distance Transform

Histogram Equalization

Exercises

7. Histograms and Matching

Basic Histogram Data Structure

Accessing Histograms

Basic Manipulations with Histograms

Some More Complicated Stuff

Exercises

8. Contours

Memory Storage

Sequences

Contour Finding

Another Contour Example

More to Do with Contours

Matching Contours

Exercises

9. Image Parts and Segmentation

Parts and Segments

Background Subtraction

Watershed Algorithm

Image Repair by Inpainting

Mean-Shift Segmentation

Delaunay Triangulation, Voronoi Tesselation

Exercises

10. Tracking and Motion

The Basics of Tracking

Corner Finding

Subpixel Corners

Invariant Features

Optical Flow

Mean-Shift and Camshift Tracking

Motion Templates

Estimators

The Condensation Algorithm

Exercises

11. Camera Models and Calibration

Camera Model

Calibration

Undistortion

Putting Calibration All Together

Rodrigues Transform

Exercises

12. Projection and 3D Vision

Projections

Affine and Perspective Transformations

POSIT: 3D Pose Estimation

Stereo Imaging

Structure from Motion

Fitting Lines in Two and Three Dimensions

Exercises

13. Machine Learning

What Is Machine Learning

Common Routines in the ML Library

Mahalanobis Distance

K-Means

Naive/Normal Bayes Classifier

Binary Decision Trees

Boosting

Random Trees

Face Detection or Haar Classifier

Other Machine Learning Algorithms

Exercises

14. OpenCV's Future

Past and Future

Directions

OpenCV for Artists

Afterword

Bibliography

Index

在线预览

Chapter 1 oVerviw

What Is OpenCV?

OpenCV [OpenCV] is an open source (see opensource.org) computer vision library available from SourceForge.net/projects/opencvlibrary. The library is written in Cand C++ and runs under Linux, Windows and Mac OS X. There is active development on interfaces for Python, Ruby, Matlab, and other languages.

OpenCV was designed for computational efficiency and with a strong focus on realtime applications. OpenCV is written in optimized C and can take advantage of mul ticore processors. If you desire further automatic optimization on Intel architectures [Intel], you can buy Intel's Integrated Performance Primitives (IPP) libraries [IPP], which consist of low-level optimized routines in many different algorithmic areas. OpenCV automatically uses the appropriate IPP library at runtime if that library is installed.

One of OpenCV's goals is to provide a simple-to-use computer vision infrastructure that helps people build fairly sophisticated vision applicatio'ns quickly. The OpenCV library contains over 500 functions that span many areas in vision。 including factory product inspection, medical imaging, security, user interface, camera calibration, stereo vision, and robotics. Because computer vision and machine learning often go hand-inhand, OpenCV also contains a full, general-purpose Machine Learning Library (MLL).This sublibrary is focused on statistical pattern recognition and clustering. The MLL is highly useful for the vision tasks that are at the core of OpenCV's mission, but it is gen eral enough to be used for any machine learning problem.

Who Uses OpenCV?

Most computer scientists and practical programmers are aware of some facet of the role that computer vision plays. But few people are aware of all the ways in which computer vision is used. For example, most people are somewhat aware of its use in surveillance,and many also know that it is increasingly being used for images and yideo on the Web. A few have seen some use of computer vision in game interfaces.

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网友评论(不代表本站观点)

来自tonyyuy**的评论:

例子详细,从网上购书到送书上门时间为5天。

2009-06-22 14:59:44
来自czlx070**的评论:

挺详细的

2009-09-03 00:31:52
来自无昵称**的评论:

帮老公的弟弟买的,正好需要。比较实用。

2009-09-05 13:54:13
来自无昵称**的评论:

好书,正在看

2009-09-10 11:20:45
来自无昵称**的评论:

good!!!

2009-12-18 21:50:07
来自yatoilo**的评论:

有些地方想看看中文……

2010-04-25 08:27:01
来自中国娃**的评论:

都很不错

2011-09-08 10:12:21
来自guoguo3**的评论:

这个商品不错~

2013-12-24 10:31:02
来自qiulk**的评论:

2014-11-26 17:35:25
来自紫冰2**的评论:

5.25订的,26发的货~我是上海的,到现在还没收到,而且在26日就降价了,订单不能取消。不知道送货的要拖到什么时候

2009-05-30 09:27:12
来自无昵称**的评论:

书到得时候已经很陈旧了,有非常明显的褶皱,估计就是压仓库的,想退货。年前有事耽误,现在肯定退不了货了。

2013-03-06 04:08:34
来自无昵称**的评论:

虽然对英语要求高,但最起码不会误解原文意思

2010-09-27 15:02:43
来自yufeng1**的评论:

确实是opencv的经典。有中文版的,但是觉得翻译的不是很好。还是读原版的好!!

2010-03-16 09:04:12
来自停留的**的评论:

印刷 和纸张没得说咯。建议有英语水平的看,毕竟还是一门外语,理解起来不如中文直接。

2010-04-28 09:46:14
来自云间刀**的评论:

非常不错的入门书籍,广度和深度恰到好处,适合入门看。比国内的那本OpenCV书好太多了。

2009-09-22 10:54:15
来自roserux**的评论:

非常感谢引进这本经典的原版书,质量很好,书的内容非常丰富。把opencv各种数据结构和函数原理,已经内在联系解释的非常清楚,是初学opencv非常好的参考书。建议当当多进影印版的英文原版书。

2010-02-08 18:55:49
来自余国亮**的评论:

该书是OpenCV方面的入门基础读物,对于喜欢计算机视觉、图像处理的人士有一定的参考价值。另外东南影印书的印刷质量也还可以,清华的中文版就相对来讲印刷差了很多,而且翻译的也不怎么样,建议有一定英文基础的最好买影印版的看,呵呵。

2009-12-07 11:20:04
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