Book Image

Mastering OpenCV 4 - Third Edition

By : Roy Shilkrot, David Millán Escrivá
Book Image

Mastering OpenCV 4 - Third Edition

By: Roy Shilkrot, David Millán Escrivá

Overview of this book

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
Table of Contents (12 chapters)

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...