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  2. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    Facial recognition systems have been deployed in advanced human–computer interaction, video surveillance, law enforcement, passenger screening, decisions on employment and housing and automatic indexing of images. [4] [5] Facial recognition systems are employed throughout the world today by governments and private companies. [6]

  3. 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]

  4. FERET database - Wikipedia

    en.wikipedia.org/wiki/FERET_database

    The Facial Recognition Technology (FERET) database is a dataset used for facial recognition system evaluation as part of the Face Recognition Technology (FERET) program.It was first established in 1993 under a collaborative effort between Harry Wechsler at George Mason University and Jonathon Phillips at the Army Research Laboratory in Adelphi, Maryland.

  5. FERET (facial recognition technology) - Wikipedia

    en.wikipedia.org/wiki/FERET_(facial_recognition...

    The origin of facial recognition technology is largely attributed to Woodrow Wilson Bledsoe and his work in the 1960s, when he developed a system to identify faces from a database of thousands of photographs. [6] The FERET program first began as a way to unify a large body of face-recognition technology research under a standard database.

  6. Face detection - Wikipedia

    en.wikipedia.org/wiki/Face_detection

    Face detection can be used as part of a software implementation of emotional inference. Emotional inference can be used to help people with autism understand the feelings of people around them. [8] AI-assisted emotion detection in faces has gained significant traction in recent years, employing various models to interpret human emotional states.

  7. Local binary patterns - Wikipedia

    en.wikipedia.org/wiki/Local_binary_patterns

    Such classifiers can be used for face recognition or texture analysis. A useful extension to the original operator is the so-called uniform pattern, [8] which can be used to reduce the length of the feature vector and implement a simple rotation invariant descriptor. This idea is motivated by the fact that some binary patterns occur more ...

  8. Category:Facial recognition - Wikipedia

    en.wikipedia.org/wiki/Category:Facial_recognition

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  9. Dlib - Wikipedia

    en.wikipedia.org/wiki/Dlib

    Dlib is a general purpose cross-platform software library written in the programming language C++. Its design is heavily influenced by ideas from design by contract and component-based software engineering. Thus it is, first and foremost, a set of independent software components. It is open-source software released under a Boost Software License.