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Learning Opencv: Computer Vision with the Opencv Library

by Bradski, Gary; Kaehler, Adrian | PB | Acceptable
ThriftBooks
  • (3591634)
US $4.84
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Last updated on May 28, 2024 10:22:41 PDTView all revisionsView all revisions

Item specifics

Condition
Acceptable
A book with obvious wear. May have some damage to the cover but integrity still intact. The binding may be slightly damaged but integrity is still intact. Possible writing in margins, possible underlining and highlighting of text, but no missing pages or anything that would compromise the legibility or understanding of the text. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend ...
Binding
Paperback
Weight
1 lbs
Product Group
Book
IsTextBook
Yes
ISBN
9780596516130
Publication Name
Learning Opencv : Computer Vision with the Opencv Library
Item Length
9.2in
Publisher
O'reilly Media, Incorporated
Publication Year
2008
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
1.2in
Author
Adrian Kaehler, Gary Bradski
Features
Revised
Item Width
7.3in
Item Weight
34.9 Oz
Number of Pages
575 Pages

About this product

Product Information

"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV 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 that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection Tracking and motion in 2 and 3 dimensions 3D reconstruction from stereo vision Machine learning algorithms Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
0596516134
ISBN-13
9780596516130
eBay Product ID (ePID)
77941160

Product Key Features

Author
Adrian Kaehler, Gary Bradski
Publication Name
Learning Opencv : Computer Vision with the Opencv Library
Format
Trade Paperback
Language
English
Features
Revised
Publication Year
2008
Type
Textbook
Number of Pages
575 Pages

Dimensions

Item Length
9.2in
Item Height
1.2in
Item Width
7.3in
Item Weight
34.9 Oz

Additional Product Features

Lc Classification Number
Ta1634
Edition Description
Revised Edition
Table of Content
Preface; Purpose; About the Programs in This Book; Prerequisites; How This Book Is Best Used; Conventions Used in This Book; Using Code Examples; Safari® Books Online; We'd Like to Hear from You; Acknowledgments;Chapter 1: Overview; 1.1 What Is OpenCV?; 1.2 Who Uses OpenCV?; 1.3 What Is Computer Vision?; 1.4 The Origin of OpenCV; 1.5 Downloading and Installing OpenCV; 1.6 Getting the Latest OpenCV via CVS; 1.7 More OpenCV Documentation; 1.8 OpenCV Structure and Content; 1.9 Portability; 1.10 Exercises;Chapter 2: Introduction to OpenCV; 2.1 Getting Started; 2.2 First Program--Display a Picture; 2.3 Second Program--AVI Video; 2.4 Moving Around; 2.5 A Simple Transformation; 2.6 A Not-So-Simple Transformation; 2.7 Input from a Camera; 2.8 Writing to an AVI File; 2.9 Onward; 2.10 Exercises;Chapter 3: Getting to Know OpenCV; 3.1 OpenCV Primitive Data Types; 3.2 CvMat Matrix Structure; 3.3 IplImage Data Structure; 3.4 Matrix and Image Operators; 3.5 Drawing Things; 3.6 Data Persistence; 3.7 Integrated Performance Primitives; 3.8 Summary; 3.9 Exercises;Chapter 4: HighGUI; 4.1 A Portable Graphics Toolkit; 4.2 Creating a Window; 4.3 Loading an Image; 4.4 Displaying Images; 4.5 Working with Video; 4.6 ConvertImage; 4.7 Exercises;Chapter 5: Image Processing; 5.1 Overview; 5.2 Smoothing; 5.3 Image Morphology; 5.4 Flood Fill; 5.5 Resize; 5.6 Image Pyramids; 5.7 Threshold; 5.8 Exercises;Chapter 6: Image Transforms; 6.1 Overview; 6.2 Convolution; 6.3 Gradients and Sobel Derivatives; 6.4 Laplace; 6.5 Canny; 6.6 Hough Transforms; 6.7 Remap; 6.8 Stretch, Shrink, Warp, and Rotate; 6.9 CartToPolar and PolarToCart; 6.10 LogPolar; 6.11 Discrete Fourier Transform (DFT); 6.12 Discrete Cosine Transform (DCT); 6.13 Integral Images; 6.14 Distance Transform; 6.15 Histogram Equalization; 6.16 Exercises;Chapter 7: Histograms and Matching; 7.1 Basic Histogram Data Structure; 7.2 Accessing Histograms; 7.3 Basic Manipulations with Histograms; 7.4 Some More Complicated Stuff; 7.5 Exercises;Chapter 8: Contours; 8.1 Memory Storage; 8.2 Sequences; 8.3 Contour Finding; 8.4 Another Contour Example; 8.5 More to Do with Contours; 8.6 Matching Contours; 8.7 Exercises;Chapter 9: Image Parts and Segmentation; 9.1 Parts and Segments; 9.2 Background Subtraction; 9.3 Watershed Algorithm; 9.4 Image Repair by Inpainting; 9.5 Mean-Shift Segmentation; 9.6 Delaunay Triangulation, Voronoi Tesselation; 9.7 Exercises;Chapter 10: Tracking and Motion; 10.1 The Basics of Tracking; 10.2 Corner Finding; 10.3 Subpixel Corners; 10.4 Invariant Features; 10.5 Optical Flow; 10.6 Mean-Shift and Camshift Tracking; 10.7 Motion Templates; 10.8 Estimators; 10.9 The Condensation Algorithm; 10.10 Exercises;Chapter 11: Camera Models and Calibration; 11.1 Camera Model; 11.2 Calibration; 11.3 Undistortion; 11.4 Putting Calibration All Together; 11.5 Rodrigues Transform; 11.6 Exercises;Chapter 12: Projection and 3D Vision; 12.1 Projections; 12.2 Affine and Perspective Transformations; 12.3 POSIT: 3D Pose Estimation; 12.4 Stereo Imaging; 12.5 Structure from Motion; 12.6 Fitting Lines in Two and Three Dimensions; 12.7 Exercises;Chapter 13: Machine Learning; 13.1 What Is Machine Learning; 13.2 Common Routines in the ML Library; 13.3 Mahalanobis Distance; 13.4 K-Means; 13.5 Naïve/Normal Bayes Classifier; 13.6 Binary Decision Trees; 13.7 Boosting; 13.8 Random Trees; 13.9 Face Detection or Haar Classifier; 13.10 Other Machine Learning Algorithms; 13.11 Exercises;Chapter 14: OpenCV's Future; 14.1 Past and Future; 14.2 Directions; 14.3 OpenCV for Artists; 14.4 Afterword;Chapter 15: Bibliography;Colophon;
Copyright Date
2008
Target Audience
Scholarly & Professional
Topic
Programming Languages / C++, Image Processing, Programming Languages / C, Computer Vision & Pattern Recognition, Social Aspects / Human-Computer Interaction
Dewey Decimal
006.37
Dewey Edition
22
Illustrated
Yes
Genre
Computers

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  • by wufe_natuku
    Mar 09, 2009

    Great book. would make a lovely textbook for a class.

    The book starts off simple. Any body with programming expierience can easily pick up the first two chapters in about an hour. from there they slowly dive into the material. they show you all the details but in a way that allows you to understand. they let you know what details are unimportant and which are crucial. overall great attention to detail makes this a great reference for open cv.I bought this book because the documentation on opencv was hard to come by and written mostly in jargon. That makes it difficult to understand.

  • by alewarek1
    Feb 19, 2019

    Very good book

    Verified purchase: YesCondition: Pre-OwnedSold by: goodwillofsiliconvalley

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