Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

Get started in the rapidly expanding field ofcomputer vision with this practical guide. Written by Adrian Kaehler and GaryBradski, creator of the open source OpenCV library, this book provides athorough 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 areasin vision, OpenCV is used for commercial applications such as security, medicalimaging, pattern and face recognition, robotics, and factory productinspection. This book gives you a firm grounding in computer vision and OpenCVfor building simple or sophisticated vision applications. Hands-on exercises ineach chapter help you apply what you’ve learned.

This volume covers the entire library, in itsmodern C++ implementation, including machine learning tools for computervision.

• 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

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