Learning OpenCV: Computer Vision with the OpenCV Library

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9780596516130: Learning OpenCV: Computer Vision with the OpenCV Library
From the Publisher:

"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.

About the Author:

Dr. Gary Rost Bradski is a consulting professor in the CS department at Stanford University AI Lab where he mentors robotics, machine learning and computer vision research. He is also Senior Scientist at Willow Garage http://www.willowgarage.com, a recently founded robotics research institute/incubator. He has a BS degree in EECS from U.C. Berkeley and a PhD from Boston University. He has 20 years of industrial experience applying machine learning and computer vision spanning option trading operations at First Union National Bank, to computer vision at Intel Research to machine learning in Intel Manufacturing and several startup companies in between. Gary started the Open Source Computer Vision Library (OpenCV http://sourceforge.net/projects/?opencvlibrary/ ), the statistical Machine Learning Library (MLL comes with OpenCV), and the Probabilistic Network Library (PNL). OpenCV is used around the world in research, government and commercially. The vision libraries helped develop a notable part of the commercial Intel performance primitives library (IPP http://tinyurl.com/36ua5s). Gary also organized the vision team for Stanley, the Stanford robot that won the DARPA Grand Challenge autonomous race across the desert for a $2M team prize and helped found the Stanford AI Robotics project at Stanford http://www.cs.stanford.edu/group/stair/ working with Professor Andrew Ng. Gary has over 50 publications and 13 issued patents with 18 pending. He lives in Palo Alto with his wife and 3 daughters and bikes road or mountains as much as he can.

Dr. Adrian Kaehler is a senior scientist at Applied Minds Corporation. His current research includes topics in machine learning, statistical modeling, computer vision and robotics. Adrian received his Ph.D. in Theoretical Physics from Columbia university in 1998. Adrian has since held positions at Intel Corporation and the Stanford University AI Lab, and was a member of the winning Stanley race team in the DARPA Grand Challenge. He has a variety of published papers and patents in physics, electrical engineering, computer science, and robotics.

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Descripción O Reilly Media, Inc, USA, United States, 2008. Paperback. Estado de conservación: New. 264 x 203 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAH9780596516130

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Descripción O'Reilly Media, 2008. Estado de conservación: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 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 <spa. Nº de ref. de la librería ABE_book_new_0596516134

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Descripción 2008. Paperback. Estado de conservación: New. 12002nd. 178mm x 30mm x 234mm. Paperback. "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. .Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 555 pages. 0.907. Nº de ref. de la librería 9780596516130

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Descripción O Reilly Media, Inc, USA, United States, 2008. Paperback. Estado de conservación: New. 264 x 203 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAH9780596516130

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Descripción O'Reilly Media. Paperback. Estado de conservación: New. Paperback. 555 pages. Dimensions: 10.4in. x 8.0in. x 1.4in.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 OpenCVGetting input from camerasTransforming imagesSegmenting images and shape matchingPattern recognition, including face detectionTracking and motion in 2 and 3 dimensions3D reconstruction from stereo visionMachine learning algorithmsGetting 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9780596516130

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