Description
Get began within the swiftly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, author 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 in accordance with 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 will provide you with a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in every chapter mean you can apply what you’ve learned.
This volume covers all the library, in its brand new 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