Practical OpenCV (Technology in Action)

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.

Computer vision is key to technologies like object recognition, shape
detection, and depth estimation. OpenCV is an open-source library with over
2500 algorithms that you can use to do all of these, as well as track
moving objects, extract 3D models, and overlay augmented reality. It's
used by major companies like Google (in its autonomous car), Intel, and
Sony; and it is the backbone of the Robot Operating System’s computer vision capability.
In short, if you're working with computer vision at all, you need to know
OpenCV.

With Practical OpenCV, you'll be able to:

• Get OpenCV up and running on Windows
  or Linux.


• Use OpenCV to control the camera board and
  run vision algorithms on Raspberry Pi.


• Understand what goes on behind the
  scenes in computer vision applications like object detection, image stitching,
  filtering, stereo vision, and more.


• Code complex computer vision
  projects for your class/hobby/robot/job, many of which can execute in real time
  on off-the-shelf processors.


• Combine different modules that you
  develop to create your own interactive computer vision app.
  

What you’ll learn

• The ins and outs of OpenCV programming on Windows and Linux


• Transforming and filtering images


• Detecting corners, edges, lines, and circles in images and video


• Detecting pre-trained objects in images and video


• Making panoramas by stitching images together


• Getting depth information by using stereo cameras


• Basic machine learning techniques


• BONUS: Learn how to run OpenCV on Raspberry Pi

Who this book is for