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Practical Computer Vision

You're reading from   Practical Computer Vision Extract insightful information from images using TensorFlow, Keras, and OpenCV

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788297684
Length 234 pages
Edition 1st Edition
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Author (1):
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Abhinav Dadhich Abhinav Dadhich
Author Profile Icon Abhinav Dadhich
Abhinav Dadhich
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Table of Contents (12) Chapters Close

Preface 1. A Fast Introduction to Computer Vision FREE CHAPTER 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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