Calculating Haar features

1. What is meant by Haar features?
2. What is Haar value?
3. What is Haar algorithm?
4. Which algorithm is best for face detection?

What is meant by Haar features?

A Haar-like feature is represented by taking a rectangular part of an image and dividing that rectangle into multiple parts. They are often visualized as black and white adjacent rectangles. 00:00 All human faces share some common similarities.

What is Haar value?

The haar calculation is done by finding out the difference of the average of the pixel values at the darker region and the average of the pixel values at the lighter region. If the difference is close to 1, then there is an edge detected by the haar feature.

What is Haar algorithm?

Haar cascade is an algorithm that can detect objects in images, irrespective of their scale in image and location. This algorithm is not so complex and can run in real-time. We can train a haar-cascade detector to detect various objects like cars, bikes, buildings, fruits, etc.

Which algorithm is best for face detection?

The Eigen faces Algorithm is the most commonly used methods in the field of facial recognition.