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  2. Facial motion capture - Wikipedia

    en.wikipedia.org/wiki/Facial_motion_capture

    Facial motion capture is the process of electronically converting the movements of a person's face into a digital database using cameras or laser scanners. This database may then be used to produce computer graphics (CG), computer animation for movies, games, or real-time avatars. Because the motion of CG characters is derived from the ...

  3. Face detection - Wikipedia

    en.wikipedia.org/wiki/Face_detection

    Face detection is gaining the interest of marketers. A webcam can be integrated into a television and detect any face that walks by. The system then calculates the race, gender, and age range of the face. Once the information is collected, a series of advertisements can be played that is specific toward the detected race/gender/age.

  4. Computer vision dazzle - Wikipedia

    en.wikipedia.org/wiki/Computer_vision_dazzle

    Its use as a protesting aid has often been found ineffective. It may be effective to thwart computer technology, but draws human attention, is easy for human monitors to spot on security cameras, and makes it hard for rioters to blend in within a crowd. Advances in facial recognition technology make dazzle makeup increasingly ineffective. [13]

  5. Slaughterbots - Wikipedia

    en.wikipedia.org/wiki/Slaughterbots

    Slaughterbots is a 2017 arms-control advocacy video presenting a dramatized near-future scenario where swarms of inexpensive microdrones use artificial intelligence and facial recognition software to assassinate political opponents based on preprogrammed criteria.

  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. Facial recognition - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition

    Face detection, often a step done before facial recognition; Face perception, the process by which the human brain understands and interprets the face; Pareidolia, which involves, in part, seeing images of faces in clouds and other scenes; Facial recognition system, an automated system with the ability to identify individuals by their facial ...

  9. Three-dimensional face recognition - Wikipedia

    en.wikipedia.org/wiki/Three-dimensional_face...

    Three-dimensional face recognition (3D face recognition) is a modality of facial recognition methods in which the three-dimensional geometry of the human face is used. It has been shown that 3D face recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling fingerprint recognition .

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