Tracking of facial features to support human-robot interaction
ICRA, pp. 2651-2656, 2009.
In this paper we present a novel methodology for detection and tracking of facial features like eyes, nose and mouth in image sequences. The proposed methodology is intended to support natural interaction with autonomously navigating robots that guide visitors in museums and exhibition centers and, more specifically, to provide input for ...More
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