This chapter was a continuation of the last chapter, where we saw some basic feature detection algorithms. Here we have learnt a few more algorithms that can be used in face, eye, and person detection. Cascade classifiers are a type of supervised learning models, where we first train a classifier with some labelled data, and then use the trained model to detect new unencountered data.

In the coming chapters, we will take a look at topics such as image stitching and how to use machine learning in computer vision algorithms.