May 2020
Beginner to intermediate
430 pages
10h 39m
English
In 2001, Paul Viola of Microsoft Research and Michael Jones of Mitsubishi Electric developed a revolutionary method of detecting faces in an image by developing a classifier called the Haar cascade classifier https://www.face-rec.org/algorithms/Boosting-Ensemble/16981346.pdf. The Haar cascade classifier is based on Haar features, which are the sum of the difference of pixel values in a rectangular region. The magnitude of the difference value is calibrated to indicate the characteristics of a given region in the face—for example, nose, eyes, and so on. The final detector has 38 cascade classifiers with 6,060 features consisting of about 4,916 face ...
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