Get started in the rapidly expanding field of computer vision with this practical guide.
Written by Adrian Kaehler and Gary Bradski creator of the open source OpenCV library this
book provides a thorough introduction for developers academics roboticists and hobbyists.
You'll learn what it takes to build applications that enable computers to see and make
decisions based on that data. With over 500 functions that span many areas in vision OpenCV is
used for commercial applications such as security medical imaging pattern and face
recognition robotics and factory product inspection. This book gives you a firm grounding in
computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on
exercises in each chapter help you apply what you've learned. This volume covers the entire
library in its modern C++ implementation including machine learning tools for computer
vision. Learn OpenCV data types array types and array operations Capture and store still and
video images with HighGUI Transform images to stretch shrink warp remap and repair Explore
pattern recognition including face detection Track objects and motion through the visual field
Reconstruct 3D images from stereo vision Discover basic and advanced machine learning
techniques in OpenCV
