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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. Previous evaluations in the series were the Face Recognition Technology (FERET) evaluations in
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 ...
Many face perception and memory tests have been developed and used by researchers in the past including the Warrington Recognition Memory for Faces, Benton Facial Recognition Test and later, The Cambridge Face Perception Test and Cambridge Face Memory Test, which were developed in order to address the shortcomings of the first two tests. [10 ...
Scotland Yard’s team of 152 super recognizers is made up of people who scored at the top end of a facial-recognition test devised at Harvard in 2009. It’s estimated that roughly 1 or 2 percent ...
FaceNet is a facial recognition system developed by Florian Schroff, Dmitry Kalenichenko and James Philbina, a group of researchers affiliated with Google.The system was first presented at the 2015 IEEE Conference on Computer Vision and Pattern Recognition. [1]
Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. [1] Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene.
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]
FindFace is a face recognition technology developed by the Russian company NtechLab that specializes in neural network tools. The company provides a line of services for the state and various business sectors based on FindFace algorithm.