Real-Time Face Detection for Kiosk Interfaces
نویسندگان
چکیده
When two or more humans communicate, nonverbal signals constitute between 60% and 90% of the meaning communicated. This means that vision is an integral part of the communication between humans. However, computer vision has not been used much in human-computer interaction yet. One reason for this is that functional computer vision systems are very difficult to construct. Even a seemingly simple task like the detection of a human face in an image is very difficult with computer vision in an arbitrary environment. In this paper, we describe a method for real-time face detection. This method was evaluated and the results show that five out of eight different faces were perfectly detected. After explaining the method we discuss the possibilities of using real-time computer vision in human-computer interaction and especially in kiosk interfaces.
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