Vision for man-machine interaction
Computer vision provides a powerful tool for the interaction between man and machine. The barrier between physical objects (paper, pencils, calculators) and their electronic counterparts limits both the integration of computing into human tasks, and the population willing to adapt to the required input devices. Computer vision, coupled with video projection using low cost devices, makes it possible for a human to use any convenient object, including fingers, as digital input devices. In such an ''augmented reality'', information is projected onto ordinary objects and acquired by watching the way objects are manipulated. In the first part of this paper we describe experiments with techniques for watching the hands and recognizing gestures. Vision of the face is an important aspect of human-to-human communication. We have been experimenting with the use of computer vision ''watch the face''. In the second part of this paper we describe techniques for detecting, tracking and recognizing faces. When combined with real time image processing and active control of camera parameters, these techniques can greatly reduce the communications bandwidth required for videophone and videoconference communications.
computer vision tracking multi-modal man-machine interaction eigenfaces principal components analysis