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  2. Cross-race effect - Wikipedia

    en.wikipedia.org/wiki/Cross-race_effect

    Accurate recognition and identification of other-race faces, researchers have deduced, stems from a difference in learning experiences that relate to individual ethnic groups. [30] The cross race effect can be reduced by continual exposure to ethnic groups that differ from one's own; the more positive interactions that occur between two ethnic ...

  3. PimEyes - Wikipedia

    en.wikipedia.org/wiki/PimEyes

    PimEyes is a facial recognition search website that allows users to identify all images on the internet of a person given a sample image. The website is owned by EMEARobotics, a corporation based in Dubai. The owner and CEO of EMEARobotics and PimEye is Giorgi Gobronidze, who is based in Tbilisi, Georgia. [1]

  4. List of facial expression databases - Wikipedia

    en.wikipedia.org/wiki/List_of_facial_expression...

    A facial expression database is a collection of images or video clips with facial expressions of a range of emotions. Well-annotated ( emotion -tagged) media content of facial behavior is essential for training, testing, and validation of algorithms for the development of expression recognition systems .

  5. Neuroscience and race - Wikipedia

    en.wikipedia.org/wiki/Neuroscience_and_race

    The first step the brain does to encode a memory is to process the face. The lateral fusiform gyrus is a facial recognition area of the brain. [1] Within this brain region, the fusiform face area (FFA) analyzes the configuration and holistic appearance of the face. [4] The FFA is more activated when viewing same-race faces compared to other ...

  6. Face perception - Wikipedia

    en.wikipedia.org/wiki/Face_perception

    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 ...

  7. FaceNet - Wikipedia

    en.wikipedia.org/wiki/FaceNet

    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]

  8. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    DeepFace is a deep learning facial recognition system created by a research group at Facebook.It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users.

  9. Clearview AI - Wikipedia

    en.wikipedia.org/wiki/Clearview_AI

    Clearview AI, Inc. is an American facial recognition company, providing software primarily to law enforcement and other government agencies. [2] The company's algorithm matches faces to a database of more than 20 billion images collected from the Internet, including social media applications. [1]