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  2. E-FIT - Wikipedia

    en.wikipedia.org/wiki/E-FIT

    The widespread use of the original E-FIT approach is gradually being superseded by a new version of the program called EFIT-V. EFIT-V is a full-colour, hybrid system that offers increased flexibility and speed, allowing the face to be constructed using both evolutionary and systematic construction techniques.

  3. Software cracking - Wikipedia

    en.wikipedia.org/wiki/Software_cracking

    Software crack illustration. Software cracking (known as "breaking" mostly in the 1980s [1]) is an act of removing copy protection from a software. [2] Copy protection can be removed by applying a specific crack. A crack can mean any tool that enables breaking software protection, a stolen product key, or guessed password. Cracking software ...

  4. Coke Zero Facial Profiler - Wikipedia

    en.wikipedia.org/wiki/Coke_Zero_Facial_Profiler

    [1] [2] The app used face recognition technology to search a database of voluntarily participating Facebook users to match people based on appearance. [2] [3] [4] The software's algorithm analyzed face attributes like skin color, face structure and angles of the face. [1] Once matched, users could contact their look-alike via their Facebook ...

  5. Harvard students used Meta Ray-Bans to do facial recognition ...

    www.aol.com/news/harvard-students-made-meta-ray...

    Upon finding a face match, the software would track down other personal information like addresses and jobs. In a demo video, the students showed examples of finding a stranger on the subway and ...

  6. Fawkes (software) - Wikipedia

    en.wikipedia.org/wiki/Fawkes_(software)

    It is a free tool that is available as a standalone executable. [2] The software creates small alterations in images using artificial intelligence to protect the images from being recognized and matched by facial recognition software. [3] The goal of the Fawkes program is to enable individuals to protect their own privacy from large data ...

  7. Face Recognition Vendor Test - Wikipedia

    en.wikipedia.org/wiki/Face_Recognition_Vendor_Test

    FRVT Ongoing now has roughly 200 face recognition algorithms and tests against at least six collections of photographs [5] with multiple photographs of more than 8 million people. The best algorithms for 1:1 verification gives False Non Match Rates of 0.0003 at False Match Rates of 0.0001 on high quality visa images. [6] Additional programs:

  8. 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!

  9. Super recogniser - Wikipedia

    en.wikipedia.org/wiki/Super_recogniser

    Super recogniser" is a term coined in 2009 by Harvard and University College London researchers for people with significantly better-than-average face recognition ability. [ 1 ] [ 2 ] Super recognisers are able to memorise and recall thousands of faces, often having seen them only once.