Face detection
Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images.
Face detection can be regarded as a specific case of
Face-detection algorithms focus on the detection of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process.[3]
A reliable face-detection approach based on the genetic algorithm and the eigen-face[4] technique:
Firstly, the possible human eye regions are detected by testing all the valley regions in the gray-level image. Then the genetic algorithm is used to generate all the possible face regions which include the eyebrows, the iris, the nostril and the mouth corners.[3]
Each possible face candidate is normalized to reduce both the lighting effect, which is caused by uneven illumination; and the shirring effect, which is due to head movement. The fitness value of each candidate is measured based on its projection on the eigen-faces. After a number of iterations, all the face candidates with a high fitness value are selected for further verification. At this stage, the face symmetry is measured and the existence of the different facial features is verified for each face candidate.[citation needed]
Applications
Facial motion capture
Facial recognition
Face detection is used in
Photography
Some recent digital cameras use face detection for autofocus.[5] Face detection is also useful for selecting regions of interest in photo slideshows that use a pan-and-scale Ken Burns effect.
Modern appliances also use
Marketing
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.
An example of such a system is OptimEyes and is integrated into the Amscreen digital signage system.[6] [7]
Emotional Inference
Face detection can be used as part of a software implementation of
Lip Reading
Face detection is essential for the process of language inference from visual cues.
See also
- Computer vision
- Face ID
- Pedestrian detection
- Picasa
- SceneTap
- Super recogniser
- Three-dimensional face recognition
- TSL color space
- visage SDK
- Human sensing
References
- ^ "Face Detection: Facial recognition and finding Homepage".
- S2CID 14976176
- ^ ISSN 2448-6736.
- doi:10.1109/5.628712.
- ^ "DCRP Review: Canon PowerShot S5 IS". Dcresource.com. Archived from the original on 2009-02-21. Retrieved 2011-02-15.
- ^ Tesco face detection sparks needless surveillance panic, Facebook fails with teens, doubts over Google+ | Technology | theguardian.com
- ^ IBM has to deal with the privacy issue of facial recognition | Technology | amarvelfox.com[permanent dead link]