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Towards Realistic Facial Behaviour - Mapping from Video Footage to a Robot Head

Peter Jaeckel, Neill Campbell, Christopher Melhuish, Towards Realistic Facial Behaviour - Mapping from Video Footage to a Robot Head. 10th edition of the International Conference on Rehabilitation Robotics (ICORR). June 2007. PDF, 565 Kbytes.

Abstract

Rehabilitation robotics and physical therapy could greatly benefit from engaging and motivating, robotic caregivers which respond in accordance to patientsa?? emotional and social cues. Recent studies indicate that human-machine interactions are more believable and memorable when a physical entity is present, provided that the machine behaves in a realistic manner. It is desirable to adopt face-to-face communication because it is the most natural and efficient way of exchanging information and does not require users to alter their habits. Towards this end, we describe a process for animating a robot head, based on video input of a human head. We map from the 2D coordinates of feature points into the robota??s servo space using Partial Least Squares (PLS). Learning is done using a small set of keyframes manually created by an animator. The method is efficient, robust to tracking errors and independent of the scale of the face being tracked.

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