5. Face Processing in Image and Video
Overview
This chapter aims to show you how to detect faces in an image or a video frame using Haar Cascades, and then track the face when given an input video. Once a face has been detected, you will learn how to use techniques such as GrabCut for performing skin detection. We will also see how cascades can be extended to detect other parts of the face (for instance, the eyes, mouth, and nose). By the end of this chapter, you will be able to create applications for smile detection and Snapchat-like face filters.
Introduction
In the previous chapters, we learned how to use the OpenCV library to carry out basic image and video processing. We also had a look at contour detection in the previous chapter. ...
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