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Head Pose Estimation Based on 3-D Facial Landmarks Localization and Regression
2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
In this paper we present a system that is able to estimate head pose using only depth information from consumer RGB-D cameras such as Kinect 2. In contrast to most approaches addressing this problem, we do not rely on tracking and produce pose estimation in terms of pitch, yaw and roll angles using single depth frames as input. Our system combines three different methods for pose estimation: two of them are based on state-ofthe-art landmark detection and the third one is a dictionarybaseddoi:10.1109/fg.2017.104 dblp:conf/fgr/DerkachRS17 fatcat:sfpskejjorcejfyj3vs6z5qucy