AI BriefingThe History of Facial Recognition and the Future of FacePay
Key point
This covers the historical evolution of facial recognition technology, which began with manual coordinate recording and advanced through automation and statistical analysis.
Details
Facial recognition technology began with Woodrow Wilson Bledsoe's research in the 1960s. At the time, it was a primitive method in which researchers manually recorded the coordinates of eyes, noses, and mouths in thousands of photographs for use in computer calculations.
Entering the 1970s, Takeo Kanade reached a technical turning point by introducing an automated system in which the computer itself found feature points. Later, in the 1990s, Matthew Turk and Alex Pentland of the MIT Media Lab announced the Eigenfaces technique using PCA (Principal Components Analysis), achieving an innovation that analyzed faces as combinations of mathematical patterns.
In the 2000s, to overcome real-world variables such as changes in lighting, technology based on LBP (Local Binary Pattern), which analyzes local regional features rather than the entire face, emerged, enabling even more sophisticated recognition.
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