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Example of a Mooney face, inverted (left) and right-side-up. The Mooney Face Test, developed by Craig M. Mooney, was first introduced in his 1957 article “Age in the development of closure ability in children.” [1] Participants in the test are shown series of black and white distorted photographs, presented in such a way that would require them to perform closure. [2]
All images used were high quality, with the subject standing face on and looking straight at the camera lens, which was positioned at head height. There are two versions of the test, one short version comprising 40 "same-or-different" 2AFC decisions and another longer version with 164 decisions. These tests, complete with normative data, are ...
The Face Recognition Vendor Test (FRVT) was a series of large scale independent evaluations for face recognition systems realized by the National Institute of Standards and Technology in 2000, 2002, 2006, 2010, 2013 and 2017.
Facial age estimation is the use of artificial intelligence to estimate the age of a person based on their facial features. Computer vision techniques are used to analyse the facial features in the images of millions of people whose age is known and then deep learning is used to create an algorithm that tries to predict the age of an unknown person. [1]
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.
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