As we discussed earlier, face detection is the process of determining the location of a face in an input image. In this recipe, we will use Haar cascades for face detection. This works by extracting many simple features from the image at multiple scales. These simple features are edge, line, and rectangle features that are very easy to compute. They are then trained by creating a cascade of simple classifiers.
Building a face detector using Haar cascades
Getting ready
In this recipe, we will learn how to determine the location of a face in the video frames that are captured by our webcam. The adaptive boosting technique is used to make this process robust.
