Book Image

Building Computer Vision Projects with OpenCV 4 and C++

By : David Millán Escrivá, Prateek Joshi, Vinícius G. Mendonça, Roy Shilkrot
Book Image

Building Computer Vision Projects with OpenCV 4 and C++

By: David Millán Escrivá, Prateek Joshi, Vinícius G. Mendonça, Roy Shilkrot

Overview of this book

OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: •Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá •Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek Joshi
Table of Contents (28 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Chapter 19. iOS Panoramas with the Stitching Module

Panoramic imaging has existed since the early days of photography. In those ancient times, roughly 150 years ago, it was called the art of panography, carefully putting together individual images using tape or glue to recreate a panoramic view. With the advancement of computer vision, panorama stitching became a handy tool in almost all digital cameras and mobile devices. Nowadays, creating panoramas is as simple as swiping the device or camera across the view, the stitching calculations happen immediately, and the final expanded scene is available for viewing. In this chapter, we will implement a modest panoramic image stitching application on the iPhone using OpenCV's precompiled library for iOS. We will first examine a little of the math and theory behind image stitching, choose the relevant OpenCV functions to implement it, and finally integrate it into an iOS app with a basic UI.

The following topics will be covered in this chapter...