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Mastering OpenCV 4

You're reading from   Mastering OpenCV 4 A comprehensive guide to building computer vision and image processing applications with C++

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781789533576
Length 280 pages
Edition 3rd Edition
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Authors (2):
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Roy Shilkrot Roy Shilkrot
Author Profile Icon Roy Shilkrot
Roy Shilkrot
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
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Table of Contents (12) Chapters Close

Preface 1. Cartoonifier and Skin Color Analysis on the RaspberryPi FREE CHAPTER 2. Explore Structure from Motion with the SfM Module 3. Face Landmark and Pose with the Face Module 4. Number Plate Recognition with Deep Convolutional Networks 5. Face Detection and Recognition with the DNN Module 6. Introduction to Web Computer Vision with OpenCV.js 7. Android Camera Calibration and AR Using the ArUco Module 8. iOS Panoramas with the Stitching Module 9. Finding the Best OpenCV Algorithm for the Job 10. Avoiding Common Pitfalls in OpenCV 11. Other Books You May Enjoy

iOS UI for panorama capture

Before we delve into the OpenCV code for turning an image collection into a panorama, we will first build a UI to support the easy capture of a sequence of overlapping images. First, we must make sure we have access to the camera as well as saved images. Open the Info.plist file and add the following three rows:

To start building the UI, we create a view with a View object for the camera preview on the right, and an overlapping ImageView on the left. ImageView should cover some area of the camera preview View, to help guide the user in capturing an image with enough overlap from the last. We can also add a few ImageView instances on top to show the previously captured images, and on the bottom a Capture button and a Stitch button to control the application flow:

To connect the camera preview to the preview View, we must do the following:

  1. Start a...
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