October 2016
Intermediate to advanced
558 pages
12h 39m
English
Content preview from OpenCV: Computer Vision Projects with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 4. 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’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.