books

<<learning opencv>>, 布拉德斯基 (Bradski.G.) (作者), 克勒 (Kaehler.A.) (作者), 这本书一定要第二版的，因为第二版的讲的才是opencv2.0，第一版的是opencv1.0。第二版大概在2015年7月份出来。

Image Processing,Analysis,and Machine Vision(Third Edition)

Computer Vision Algorithms and Applications.pdf

http://opencv.org/books.html

Published books about OpenCV library:

OpenCV for Secret Agents
- For intermediate and advanced programmers, this book teaches a broad range of skills in computer vision, signal processing, and application development. Even experienced users of OpenCV will discover new ideas and techniques in the book’s projects.
A Practical Introduction to Computer Vision with OpenCV
- The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous.
Emgu CV Essentials
- Emgu CV Essentials is a practical guide to the Emgu CV library, a .Net wrapper for the OpenCV image processing library. The main features and code samples are explained in order to give a better understanding of Emgu CV, with a wide variety of topics covered, from working with images and shape detection to creating a panorama from a series of images.
OpenCV Computer Vision Application Programming Cookbook, 2nd Edition
- Over 50 recipes to help you build computer vision applications in C++ using the OpenCV library with this book.
Case Studies: Solving real-world problems with computer vision
- From face detection, to handwriting recognition, to matching keypoints and SIFT descriptors, this book has one goal: to make you awesome at solving computer vision problems. This book is intended for developers and programmers who understand the basics of computer vision and are ready to apply their skills to solve actual, real-world problems.
Practical Python and OpenCV
- An introductory computer vision book that takes an example driven, hands on approach. In just a single weekend, you can learn the basics of computer vision and image processing and have solid foundation to build on.
OpenCV Essentials
- The book provides an example-based tour of OpenCV’s main modules and algorithms, including the latest available in version 3.0. Starting with the setup and description of the library, this book teaches you how to add graphical user interface capabilities to OpenCV programs.
Practical OpenCV
- Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library.
Learning OpenCV: Computer Vision in C++ with the OpenCV Library
- The second edition of the book overviews new C++ interface for the whole library in a tutorial manner.
Instant OpenCV for iOS
- Instant OpenCV for iOS is a practical guide, showing every important step for building a computer vision application for the iOS platform. It will help you to port your OpenCV code, profile and optimize it, and then wrap into a GUI application. This book helps you to learn how to build a simple, but powerful computer vision application for the iOS devices from scratch.
Android Application Programming with OpenCV
- Android Application Programming with OpenCV is a practical, hands-on guide that covers the fundamental tasks of computer vision—capturing, filtering, and analyzing images-with step-by-step instructions for writing both an application and reusable library classes. Android Application Programming with OpenCV looks at OpenCV’s Java bindings for Android and dispels mysteries such as which version of these bindings to use, how to integrate with standard Android functionality for layout, event handling, and data sharing, and how to integrate with OpenGL for rendering.
Learning OpenCV: Computer Vision with the OpenCV Library
- The first edition of the book overviews the C version of the whole library in a tutorial manner.
Instant OpenCV Starter
- Instant OpenCV Starter is a practical, hands-on guide that will help you understand the importance of computer vision in real life as well as the various different functions of the OpenCV library via small programming projects with simple, detailed explanations.
OpenCV Computer Vision with Python
- A practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python.
OpenCV 2 Computer Vision Application Programming Cookbook
- Cookbook application examples, C++ version of OpenCV 2.0.
Mastering OpenCV with Practical Computer Vision Projects
- Detailed tutorials & full-source code for 9 projects (Augmented Reality, SfM, OCR, AAM & POSIT, 2D & 3D Face Tracking, Face Recognition, Kinect, Mobile), using C++ version of OpenCV 2.4.2 or newer.
- Latest code is available at https://github.com/MasteringOpenCV/code
- (Assumes you already know how to use OpenCV, such as by reading the 2 books above).

Books that mention OpenCV:

Beginning Google Glass Development
- Chapter 4 shows you how to create Glasssware that uses OpenCV.
Learning ROS for Robotics Programming
- The 6th chapter of this book is devoted to using OpenCV in ROS.
Vision-based User Interface Programming in Java
- Author uses OpenCV and its Java bindings JavaCV for examples.
Programming Computer Vision with Python: Tools and algorithms for analyzing images
- The last chapter of this book is devoted to the OpenCV Python interface.
Pro iOS 5 Augmented Reality
- This book walks you through the foundations of building an augmented reality application for the iPhone or iPad.
Algorithms for Image Processing and Computer Vision
- This bestselling book has been fully updated with the newest of
  these, including 2D vision methods in content-based searches and the use
  of graphics cards as image processing computational aids.
Programming Interactivity
- Ready to create rich interactive experiences with your artwork,
  designs, or prototypes? This is the ideal place to start. With this
  hands-on guide, you’ll explore several themes in interactive art and
  design—including 3D graphics, sound, physical interaction, computer
  vision, and geolocation—and learn the basic programming and electronics
  concepts you need to implement them. No previous experience is
  necessary.
Kinect Open Source Programming Secrets: Hacking the Kinect with OpenNI, NITE, and Java
- This book lets you harness the Kinect’s powerful sensing
  capabilities for gaming, science, multimedia projects, and a
  mind-boggling array of other applications on platforms running Windows,
  Mac OS, and Linux.
Processing 2: Creative Programming Cookbook
- Over 90 highly-effective recipes to unleash your creativity with interactive art, graphics, computer vision, 3D, and more.

Video courses:

OpenCV Computer Vision Application Programming
- This course will expose you to the key concepts of OpenCV and
  enable you to build your own computer vision applications. “OpenCV
  Computer Vision Application Programming” allows you to dive into the
  world of computer vision and get many practical benefits from it with
  minimal effort.