Description: 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
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EAN: 9781491937990
UPC: 9781491937990
ISBN: 9781491937990
MPN: N/A
Book Title: Learning OpenCV 3: Computer Vision in C++ with the
Item Length: 23.6 cm
Item Height: 230 mm
Item Width: 183 mm
Author: Adrian Kaehler, Gary Bradski
Publication Name: Learning Opencv 3
Format: Paperback
Language: English
Publisher: O'reilly Media, INC International Concepts USA
Subject: Computer Science
Publication Year: 2017
Type: Textbook
Item Weight: 1638 g
Number of Pages: 1024 Pages
