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Computer Vision with Python 3 by Saurabh Kapur

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Haar Cascades

Haar Cascades is a type of cascade classifier, where the system is made up of multiple chained classifiers (refer to Chapter 3, Drilling Deeper into Features-Object Detection, for details on cascade classifiers). Haar Cascades is one of the first feature extraction algorithms. Viola and Jones, in their face detection algorithm, first introduced a way of using Haar wavelets to extract features in an image. They proposed an algorithm for face detection using Haar Cascades. The main idea behind the algorithm was the inherent structure that is present in all the faces. For example, in every human face, the eye region is darker than the cheeks, and the nose bridge region is darker than the eyes. Using such characteristics of a human ...

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