January 2018
Intermediate to advanced
268 pages
6h 20m
English
Content preview from OpenCV 3.x with Python By Example - Second Edition
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Object Recognition
In this chapter, we are going to learn about object recognition and how we can use it to build a visual search engine. We will discuss feature detection, building feature vectors, and using machine learning to build a classifier. We will learn how to use these different blocks to build an object recognition system.
By the end of this chapter, you will know:
- The difference between object detection and object recognition
- What a dense feature detector is
- What a visual dictionary is
- How to build a feature vector
- What supervised and unsupervised learning are
- What support vector machines are and how to use them to build a classifier
- How to recognize an object in an unknown image
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
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.