September 2015
Beginner to intermediate
296 pages
5h 57m
English
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Chapter 5. Extracting Features from an Image
In this chapter, we are going to learn how to detect salient points, also known as keypoints, in an image. We will discuss why these keypoints are important and how we can use them to understand the image content. We will talk about different techniques that can be used to detect these keypoints, and understand how we can extract features from a given image.
By the end of this chapter, you will know:
- What are keypoints and why do we care about them
- How to detect keypoints
- How to use keypoints for image content analysis
- The different techniques to detect keypoints
- How to build a feature extractor
Why do we care about keypoints?
Image content analysis refers to the process of understanding the content of an image ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.