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Facial Recognition Technology
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Question 1
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Which of the following is correct about Facial Recognition Technology (FRT)?
(a) An innovative way of detecting deep fake technology related videos on the Internet.
(b) An algorithm able to detect the presence of a human face within an image.
(c) A technique used to detect fake videos and images on social media platforms.
(d) A tool to capture facial movement of a person.
Explanation Overview:FRT is a sophisticated data-driven aspect of artificial intelligence technology that primarily seeks to accomplish three functions- facial detection, feature extraction, and facial recognition. FRT applications generally operate through the identification or verification of particular persons against a gallery of facial images, necessitating the presence and use of large facial datasets for wider use. This ecosystem is further dependent on the availability of facial data as the FRT programs, prior to their rollout, are engaged in intensive training and machine learning processes through large amounts of training datasets. The availability of large datasets of previously accumulated facial data is key to the operation of FRT applications.
Facial detection relies on the use of algorithms to be able to detect the presence of a human face within an image. This by itself allows the application of certain technologies that are agnostic to the specific features of a face and are only concerned with the existence of a face detected within an image. However, in most instances of FRT use, facial detection is merely a first step, to be followed by feature extraction and facial recognition if necessary. Feature extraction is the use of mathematical representations of distinctive features on individual faces identified in the first stage to have unique identifiers between different faces. Lastly, the stage of facial recognition involves the automatic cross-referencing of a person’s facial features with a pre-existing database of images called a gallery dataset.
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