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Practical Computer Vision

You're reading from  Practical Computer Vision

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781788297684
Pages 234 pages
Edition 1st Edition
Languages
Author (1):
Abhinav Dadhich Abhinav Dadhich
Profile icon Abhinav Dadhich
Toc

Table of Contents (12) Chapters close

Preface 1. A Fast Introduction to Computer Vision 2. Libraries, Development Platform, and Datasets 3. Image Filtering and Transformations in OpenCV 4. What is a Feature? 5. Convolutional Neural Networks 6. Feature-Based Object Detection 7. Segmentation and Tracking 8. 3D Computer Vision 9. Mathematics for Computer Vision 10. Machine Learning for Computer Vision 11. Other Books You May Enjoy

Aligning images

Image alignment is a problem for computing a transformation matrix so that on applying that transformation to an input image, it can be converted to the target image plane. As a result, the resulting images look like they are stitched together and form a continuous larger image.

Panorama is one such example of aligning images, where we collect images of a scene with changing camera angles and the resulting image is a combination of images aligned. A resulting image is as shown, as follows:

In the preceding figure, an example of panorama creation is shown. Using a camera, we collect multiple images for the same scene by adding overlapping regions. As the camera is moved, often, the pose changes significantly, so therefore for different poses of the camera a transformation matrix is computed.

Let's get started with a basic method...

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