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  2. Digital face replacement - Wikipedia

    en.wikipedia.org/wiki/Digital_face_replacement

    Digital face replacement is a computer generated imagery effect used in motion picture post-production. [1] It is commonly used to make an actor's body double or stunt double look as if they are the original actor. Possibly the earliest use of face replacement was in the 1993 movie Jurassic Park. [1]

  3. Identity replacement technology - Wikipedia

    en.wikipedia.org/wiki/Identity_replacement...

    This can include face masks, face authentication technology, and deepfakes on the Internet that spread fake editing of videos and images. [1] Face replacement and identity masking are used by either criminals or law-abiding citizens. Identity replacement tech, when operated on by criminals, leads to heists or robbery activities. Law-abiding ...

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  5. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    The Face2Face program, published in 2016, modifies video footage of a person's face to depict them mimicking the facial expressions of another person. [32] The project highlights its primary research contribution as the development of the first method for re-enacting facial expressions in real time using a camera that does not capture depth ...

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  7. Liberals accuse elderly husband of US senator of snubbing ...

    www.aol.com/news/liberals-accuse-elderly-husband...

    The clipped video does not show that the hand the VP tried to shake was holding on to a cane,” Federalist editor-in-chief Mollie Hemingway wrote on X. Sen. Deb Fischer was sworn into her third ...

  8. Face Recognition Vendor Test - Wikipedia

    en.wikipedia.org/wiki/Face_Recognition_Vendor_Test

    FACE Challenges – recognition of individuals from photographs posted on social media. [9] Face in Video Evaluation (FIVE) – ability of algorithms to identify or ignore persons from video sources, many times in which the person is not actively cooperating for the purposes of facial recognition, i.e. "in the wild". [10]

  9. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    The input is an RGB image of the face, scaled to resolution , and the output is a real vector of dimension 4096, being the feature vector of the face image. In the 2014 paper, [ 13 ] an additional fully connected layer is added at the end to classify the face image into one of 4030 possible persons that the network had seen during training time.

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