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OpenCV with Python By Example

You're reading from  OpenCV with Python By Example

Product type Book
Published in Sep 2015
Publisher Packt
ISBN-13 9781785283932
Pages 296 pages
Edition 1st Edition
Languages
Author (1):
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi

Table of Contents (19) Chapters

OpenCV with Python By Example
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Applying Geometric Transformations to Images Detecting Edges and Applying Image Filters Cartoonizing an Image Detecting and Tracking Different Body Parts Extracting Features from an Image Creating a Panoramic Image Seam Carving Detecting Shapes and Segmenting an Image Object Tracking Object Recognition Stereo Vision and 3D Reconstruction Augmented Reality Index

What are keypoints?


Now that we know that keypoints refer to the interesting regions in the image, let's dig a little deeper. What are keypoints made of? Where are these points? When we say "interesting", it means that something is happening in that region. If the region is just uniform, then it's not very interesting. For example, corners are interesting because there is sharp change in intensity in two different directions. Each corner is a unique point where two edges meet. If you look at the preceding images, you will see that the interesting regions are not completely made up of "interesting" content. If you look closely, we can still see plain regions within busy regions. For example, consider the following image:

If you look at the preceding object, the interior parts of the interesting regions are "uninteresting".

So, if we were to characterize this object, we would need to make sure that we picked the interesting points. Now, how do we define "interesting points"? Can we just say...

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