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2. DeepFace - Wikipedia

   en.wikipedia.org/wiki/DeepFace

   DeepFace is a deep learning facial recognition system created by a research group at Facebook. It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users. [1][2] The Facebook Research team has stated that ...

3. Identity replacement technology - Wikipedia

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

   Deepfakes, a type of identity replacement technology, are pictures or video edits that replace the identity of a person in the picture or the video. This digital forgery is used to manipulate informations, defame people, and blackmail individuals. Through editing techniques such as face replacement and pixel or coloration implant, deepfakes can ...

4. Facial recognition system - Wikipedia

   en.wikipedia.org/wiki/Facial_recognition_system

   Facial recognition software at a US airport. Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system[ 1 ] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate ...

5. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

6. Face hallucination - Wikipedia

   en.wikipedia.org/wiki/Face_hallucination

   Image superresolution is a class of techniques that enhance the resolution of an image using a set of low resolution images. The main difference between both techniques is that face hallucination is the super-resolution for face images and always employs typical face priors with strong cohesion to face domain concept.

7. Eigenface - Wikipedia

   en.wikipedia.org/wiki/Eigenface

   Informally, eigenfaces can be considered a set of "standardized face ingredients", derived from statistical analysis of many pictures of faces. Any human face can be considered to be a combination of these standard faces. For example, one's face might be composed of the average face plus 10% from eigenface 1, 55% from eigenface 2, and even −3 ...