December 2012
Intermediate to advanced
340 pages
8h 3m
English
Content preview from Mastering OpenCV with Practical Computer Vision ProjectsBecome 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 8. Face Recognition using Eigenfaces or Fisherfaces
This chapter will introduce concepts in face detection and face recognition and provide a project to detect faces and recognize them when it sees them again. Face recognition is both a popular and a difficult topic, and many researchers devote years to the field of face recognition. So this chapter will explain simple methods of face recognition, giving the reader a good start if they want to explore more complex methods.
In this chapter, we cover the following:
- Face detection
- Face preprocessing
- Training a machine-learning algorithm from collected faces
- Face recognition
- Finishing touches
Introduction to face recognition and face detection
Face recognition is the process of putting a label to ...
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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.