Introduction
Face recognition and facial tracking technology have long since left the realms of spy films and science fiction. They are now widely employed in various industries for a variety of purposes, including security, law enforcement, healthcare, and entertainment.
Facial recognition features enable us to unlock our cellphones, acquire or prohibit access to local places, and assist law enforcement in identifying troublemakers' faces.
However, facial recognition has lately teamed up with another cutting-edge technology – augmented reality – to create an altogether new family of mobile apps that may be both amusing and profitable.
What is Face detection?
Face detection is a technique for detecting people's faces using computer vision. focuses on recognizing human faces from the front. In most cases, it shows the location and size of all the faces in a frame. The majority of new DSLR cameras feature face detection autofocus.
How does it work?
One of the most accurate methods for detecting human faces is to employ the Haar-Like features algorithm (I will explain this later). To begin, the image is transformed into grayscale color. since human faces are simpler to recognize in this color scale (Black & White).
The next stage is to employ image segmentation (a procedure in which a picture is processed with some color adjustment to help identify the objects in the frame). A pixel-wise mask is created for each object in the image). This method allows us to get a far more detailed understanding of the object(s) in the photograph.)
The Haar-Like features method, developed by Viola and Jones, is used to locate human faces in a frame. Human faces have some universal traits, such as the noise region being brighter than other regions, such as the eye region, and the eye region is darker than the pixels around it.
This algorithm is used to extract features from an object in an image. We can detect eyes, mouths, noses, and other human face elements that appear in the print or frame using line detection and edge detection. Once we have the results, we can draw a rectangle box around the face to indicate that the process was successful.
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