What is facial detection?

Facial detection refers to the science of the location of people in the scene. It is a critical element of focusing the software in the cameras, as well as the primary step in facial recognition in unlimited scenes: the face must be detected before it can be compared with familiar faces and identified. It can also be used by newer software to organize photos on your computer.

on cameras, facial detection helps to determine how the focus should work in the picture. Depending on the camera, face detection technology can identify at least 10 faces in the scene. Once identified, they can be preferred and the focus can be automatically adapted to contain high priority faces. The camera's face detection is often displayed by the user via a series of one or more rectangles overlapping on the scene. With a detected face, the technology can also adjust the exposure to make sure the subject is correctly displayed, including the compensation of dark scenes orScenes illuminated back -up. For example, facial detection and recognition technology can help prevent car theft by being used in secure parking lots. The aim is to compare the face of a person who brought the car to the land to the face of a person who removes the vehicles from the land.

In addition, it has already tried to detect and recognize the face as a notebook. This means that the face of the registered user may be needed to unlock the computer, or the computer can turn off when the user leaves his workstation. In 2009, some such systems were violated by security scientists who were able to use a photo of a computer and Photoshopped user to defeat the login security.

For Photos, Apple® created an iphoto® feature called Faces. Faces uses facial detection to identify the faces of people in the photographs onUser computer and then uses face recognition to compare faces that seem to be the same person. With this collection, the user can easily add a name to a photo group or find photos of a particular person.