In Chapter 6, Learning Object Classification, we learned about object classification and how machine learning can be used to achieve it. In this chapter, we are going to learn how to detect and track different face parts. We will start the discussion by understanding the face detection pipeline and how it's built. We will then use this framework to detect face parts, such as the eyes, ears, mouth, and nose. Finally, we will learn how to overlay funny masks on these face parts in a live video.
By the end of this chapter, we should be familiar with the following topics:
- Understanding Haar cascades
- Integral images and why we need them
- Building a generic face detection pipeline
- Detecting and tracking faces, eyes, ears, noses, and mouths in a live video stream from the webcam
- Automatically overlaying a face mask, sunglasses, and a funny nose on a person's face in a video