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  2. 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 ...

  3. 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.

  4. 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]

  5. 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]

  6. 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.

  7. Landmark detection - Wikipedia

    en.wikipedia.org/wiki/Landmark_detection

    Finding facial landmarks is an important step in facial identification of people in an image. Facial landmarks can also be used to extract information about mood and intention of the person. [ 1 ] Methods used fall in to three categories: holistic methods, constrained local model methods, and regression -based methods.

  8. Organizational analysis - Wikipedia

    en.wikipedia.org/wiki/Organizational_analysis

    A good example is "Organizational analysis of maternal mortality reduction program in Madagascar" by Harimanana, Barennes and Reinharz. This study used the Gamson’s Coalition Theory and Hining & Greenwood’s archetypes to assess the misalignment of the process by which several agencies including the Madagascar health Ministry provide ...

  9. 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 ...

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