May 4, 2004
The elements of a face can be hard for computers — and for some people — to recognize.
Henry Schneiderman, a computer vision researcher at Carnegie Mellon University’s Robotics Institute, has developed the most accurate program in existence for detecting faces in still images and video.
Schneiderman’s face detector uses low-resolution black and white images measuring 24 by 32 pixels. Part of the development process involves showing the… read more