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ISO/IEC 19794 Information technology—Biometric data interchange formats—Part 5: Face image data, or ISO/IEC 19794-5 for short, is the fifth of 8 parts of the ISO/IEC standard ISO/IEC 19794, published in 2005, which describes interchange formats for several types of biometric data.
Super recogniser" is a term coined in 2009 by Harvard and University College London researchers for people with significantly better-than-average face recognition ability. [ 1 ] [ 2 ] Super recognisers are able to memorise and recall thousands of faces, often having seen them only once.
Computer vision dazzle, also known as CV dazzle, dazzle makeup, or anti-surveillance makeup, is a type of camouflage used to hamper facial recognition software, inspired by dazzle camouflage used by vehicles such as ships and planes. [1]
Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.
The origin of facial recognition technology is largely attributed to Woodrow Wilson Bledsoe and his work in the 1960s, when he developed a system to identify faces from a database of thousands of photographs. [6] The FERET program first began as a way to unify a large body of face-recognition technology research under a standard database.
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Celebrity recognition in images [3] [4]; Facial attribute detection in images, including gender, age range, emotions (e.g. happy, calm, disgusted), whether the face has a beard or mustache, whether the face has eyeglasses or sunglasses, whether the eyes are open, whether the mouth is open, whether the person is smiling, and the location of several markers such as the pupils and jaw line.
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