Real-time Head Pose Estimation with Stereo Vision
نویسندگان
چکیده
Head pose estimation is an important task for many applications such as human-computer interaction and human action understanding since a person’s head direction has an important role in representing his/her intention. In this paper, we propose a real-time head pose estimation method with stereo vision, which does not stress users and is easily applied to a lot of users. We use the degree of the separability and template matching for robust and accurate detection of facial features, which are cues for estimating head pose.
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