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Viola-Jones Object Detection Framework

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The Viola-Jones algorithm is named after two computer vision researchers who proposed the method in 2001: Paul Viola and Michael Jones.

They developed a general object detection framework that was able to provide competitive object detection rates in real time. It can be used to solve a variety of detection problems, but the main motivation comes from face detection.

The Viola-Jones algorithm has 4 main steps, and you’ll learn more about each of them in the sections that follow:

  1. Selecting Haar-like features
  2. Creating an integral image
  3. Running AdaBoost training
  4. Creating classifier cascades

Given an image, the algorithm looks at many smaller subregions and tries to find a face by looking for specific features in each subregion. It needs to check many different positions and scales because an image can contain many faces of various sizes. Viola and Jones used Haar-like features to detect faces.

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