OpenCV 2 Computer Vision Application Programming Cookbook

More Information
Learn
  • Create advanced computer vision applications using sound object-oriented programming practices
  • Iterate over an image to process each of its pixels
  • Enhance an image or interesting parts of an image using histograms
  • Use mathematical morphology to process binary images and to segment images into homogenous regions
  • Filter images by modifying their frequency content
  • Detect the lines, contours , and objects contained in an image
  • Apply different interest point operators in order to characterize an image content
  • Exploit the image geometry in order to match different views of a pictured scene
  • Calibrate the camera from different image observations
  • Reconstruct selected image elements in 3D
About

In today's digital world, images are everywhere, and with the advent of powerful and affordable computing devices, it has become possible to create sophisticated applications manipulating images and videos. Adding special effects, enhancing image features, performing object recognition, and reconstructing 3D information are tasks that can be programmed easily with the OpenCV library, which is a widely used open source library that offers a rich set of advanced computer vision algorithms.

OpenCV 2 Computer Vision Application Programming Cookbook will introduce you to numerous computer vision algorithms included in the OpenCV library. You will learn how to read, write, create and manipulate images. You will explore different techniques commonly used in image analysis and how they can be effectively implemented in C++. The book provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and be exposed to important concepts in image analysis that will enable you to build your own computer vision applications.

The book helps you to get started with the library, showing you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. The techniques to process an image and its pixels using the data structures offered by the library are explained in detail. You will learn how to build and manipulate an image histogram; how to detect lines and contours. You will be introduced to the concept of mathematical morphology and image filtering. The detection and use of interest points in computer vision is presented with applications for image matching and object recognition. Techniques to achieve camera calibration and 3D reconstruction are presented.

OpenCV 2 Computer Vision Application Programming Cookbook is your guide to the development of computer vision applications. It is a comprehensive reference that exposes you to computer vision concepts illustrated with extensive examples.

Features
  • Teaches you how to program computer vision applications in C++ using the different features of the OpenCV library
  • Demonstrates the important structures and functions of OpenCV in detail with complete working examples
  • Describes fundamental concepts in computer vision and image processing
  • Gives you advice and tips to create more effective object-oriented computer vision programs
  • Contains examples with source code and shows results obtained on real images with detailed explanations and the required screenshots

Images

Page Count 304
Course Length 9 hours 7 minutes
ISBN 9781849513241
Date Of Publication 22 May 2011

Authors

Robert Laganiere

Robert Laganiere is a professor at the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the coauthor of several scientific publications and patents in content-based video analysis, visual surveillance, driver-assistance, object detection, and tracking. He cofounded Visual Cortek, a video analytics start-up, which was later acquired by iWatchLife. He is also a consultant in computer vision and has assumed the role of chief scientist in a number of start-ups companies, including Cognivue Corp, iWatchLife, and Tempo Analytics. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987), and M.Sc. and Ph.D. degrees from INRS-Telecommunications, Montreal (1996).