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Learning OpenCV 3 Computer Vision with Python (Update)

You're reading from   Learning OpenCV 3 Computer Vision with Python (Update) Unleash the power of computer vision with Python using OpenCV

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781785283840
Length 266 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Setting Up OpenCV FREE CHAPTER 2. Handling Files, Cameras, and GUIs 3. Processing Images with OpenCV 3 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Detecting and Recognizing Objects 8. Tracking Objects 9. Neural Networks with OpenCV – an Introduction Index

Chapter 6. Retrieving Images and Searching Using Image Descriptors

Similar to the human eyes and brain, OpenCV can detect the main features of an image and extract these into so-called image descriptors. These features can then be used as a database, enabling image-based searches. Moreover, we can use keypoints to stitch images together and compose a bigger image (think of putting together many pictures to form a 360 degree panorama).

This chapter shows you how to detect features of an image with OpenCV and make use of them to match and search images. Throughout the chapter, we will take sample images and detect their main features, and then try to find a sample image contained in another image using homography.

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