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Prosopagnosia, [2] also known as face blindness, [3] is a cognitive disorder of face perception in which the ability to recognize familiar faces, including one's own face (self-recognition), is impaired, while other aspects of visual processing (e.g., object discrimination) and intellectual functioning (e.g., decision-making) remain intact.
Many countries use a two-dimensional technology to identify people. The technology works by taking an image of a person's face and matching the image with databases. Usually the technology measures the distance between points of a person's face. Three-dimensional facial recognition using infrared also exists. [3]
Use of non-facial cues such as hair, gait or glasses to identify people; Need to meet people many times before being able to remember their names; Trouble keeping track of characters in movies or TV shows; Social anxiety; Having a memory for the faces of people encountered before the brain damage occurred (acquired case only) [2]
Bruce & Young Model of Face Recognition, 1986. One of the most widely accepted theories of face perception argues that understanding faces involves several stages: [7] from basic perceptual manipulations on the sensory information to derive details about the person (such as age, gender or attractiveness), to being able to recall meaningful details such as their name and any relevant past ...
As of 2016, facial recognition was being used to identify people in photos taken by police in San Diego and Los Angeles (not on real-time video, and only against booking photos) [94] and use was planned in West Virginia and Dallas. [95] In recent years Maryland has used face recognition by comparing people's faces to their driver's license photos.
This is because processing inverted faces involves a piecemeal strategy. C.K.'s performance is compared to patients with prosopagnosia who are impaired in face processing but perform well identifying inverted faces. This was the first evidence for a double dissociation between face and object processing suggesting a face-specific processing system.
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. [3]
DeepFace systems can identify faces with 97% accuracy, almost the same accuracy as a human in the same position. Facebook's facial recognition is more effective than the FBI's technology, which has 85% accuracy. [9] Google's technology, FaceNet is more successful than DeepFace using the same data sets. FaceNet set a record for accuracy, 99.63%.
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