What to read after OpenCV 3 Computer Vision Application Programming Cookbook?

Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3

About This BookWritten to the latest, gold-standard specification of OpenCV 3Master OpenCV, the open source library of the computer vision communityMaster fundamental concepts in computer vision and image processingLearn about the important classes and functions of OpenCV with complete working examples applied to real imagesWho This Book Is For

OpenCV 3 Computer Vision Application Programming Cookbook Third Edition is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers who wish to be introduced to the concepts of computer vision programming. It can also be used as a companion book for university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.

What You Will LearnInstall and create a program using the OpenCV libraryProcess an image by manipulating its pixelsAnalyze an image using histogramsSegment images into homogenous regions and extract meaningful objectsApply image filters to enhance image contentExploit the image geometry in order to relay different views of a pictured sceneCalibrate the camera from different image observationsDetect people and objects in images using machine learning techniquesReconstruct a 3D scene from imagesIn Detail

Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration.

OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications.

This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering.

The most recent methods for image matching and object recognition are described, and you'll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you'll also get acquainted with recent approaches in machine learning and object classification.

Style and approach

This book will arm you with the basics you need to start writing world-aware applications right from a pixel level all the way through to processing video sequences.