June 2016
Beginner to intermediate
304 pages
6h 24m
English
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Chapter 10. Biometric Face Recognition
In this chapter, we will cover the following recipes:
- Capturing and processing video from a webcam
- Building a face detector using Haar cascades
- Building eye and nose detectors
- Performing Principal Components Analysis
- Performing Kernel Principal Components Analysis
- Performing blind source separation
- Building a face recognizer using Local Binary Patterns Histogram
Introduction
Face recognition refers to the task of identifying the person in a given image. This is different from face detection where we locate the face in a given image. During face detection, we don't care who the person is. We just identify the region of the image that contains the face. Therefore, in a typical biometric face-recognition system, we need ...