July 2015
Intermediate to advanced
174 pages
3h 45m
English
One might be wondering how OpenCV could detect faces as this would be a very straightforward task for a couple-of-month old baby, and it looks quite complicated to tell a computer how to accomplish it. We will divide the problem in two parts—object detection, which is applying a classifier and retrieving the object position when the classifier says so, and training a new classifier to learn new objects that should be mostly rigid.
OpenCV Cascade Classifier initially implemented a face-detection technique known as the Viola-Jones detector, first developed by Paul Viola and Michael Jones, which uses the so-called Haar-like features, named after Alfréd Haar wavelets. These features are based on thresholds ...
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