Book Description
OpenCV 3 is a native cross-platform library for computer vision, machine learning, and image processing. OpenCV's convenient high-level APIs hide very powerful internals designed for computational efficiency and with a strong focus on real-time applications that can take advantage of multicore and GPU processing. This book will help you tackle increasingly challenging computer vision problems by providing number of recipes that you can use to improvise your existing applications.
In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms. We’ll guide you through segmenting images into homogeous regions and extracting meaningful objects. Then you’ll learn how to apply image filters to enhance image content and exploit the image geometry in order to relay different views of a pictured scene. Then we’ll explore techniques to achieve camera calibration and perform multiple-view analysis.
You’ll work through various recipes, such as how to reconstruct a 3D scene from images. Later, you’ll work on converting low-level pixel information to high-level concepts for applications such as object detection, recognition, and scene monitoring. You’ll discover how to process video from files or cameras, and how to detect and track moving objects. Finally, you'll get acquainted with recent approaches in deep learning, object classification, and neural networks.
By the end of the book, you’ll be able to apply your skills in OpenCV to create and explore computer vision applications in various domains.
![Building Advanced OpenCV3 Projects with Python [Video] Book Cover](http://web.archive.org/web/20180310123713im_/https://dz13w8afd47il.cloudfront.net/sites/default/files/imagecache/featured_book_block/bookretailers/V08274_MockupCover.png "Building Advanced OpenCV3 Projects with Python [Video] from Packt")
