Face detection
 |
This article's lead section may not adequately summarize key points of its contents. (February 2011) |
 |
This article needs additional citations for verification. (November 2012) |
Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary (digital) images. It detects facial features and ignores anything else, such as buildings, trees and bodies.
Contents |
Definition and relation to other tasks[edit]
Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars.
Face detection can be regarded as a more general case of face localization. In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information.
Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation), or both. The newer algorithms take into account variations in the image or video by factors such as face appearance, lighting, and pose.
Applications[edit]
Face detection is used in biometrics, often as a part of (or together with) a facial recognition system. It is also used in video surveillance, human computer interface and image database management. Some recent digital cameras use face detection for autofocus.[1] Face detection is also useful for selecting regions of interest in photo slideshows that use a pan-and-scale Ken Burns effect.
Face detection is gaining the interest of marketers. A webcam can be integrated into a television and detect any face that walks by. The system then calculates the race, gender, and age range of the face. Once the information is collected, a series of advertisements can be played that is specific toward the detected race/gender/age.
Face detection is also being researched in the area of energy conservation.[2]
See also[edit]
- TSL color space
- Computer vision
- Facial recognition system
- Three-dimensional face recognition
- iPhoto
- Picasa
- SceneTap
- 4KDownload
References[edit]
- ^ "DCRP Review: Canon PowerShot S5 IS". Dcresource.com. Retrieved 2011-02-15.
- ^ http://portal.acm.org.offcampus.lib.washington.edu/citation.cfm?doid=1389586.1389693
