Structure From Motion for Real-time 3D Head Pose Recovery
نویسندگان
چکیده
This paper presents a robust and recursive means of tracking and modeling faces in near-field video sequences. An Extended Kalman Filter is coupled with a generic wire-frame face model and a correlation based 2D tracking process, providing a recursive means of recovering simple camera geometry, head pose and object structure. Head pose parameters are used to animate the texture-mapped face model and the estimated structure is fed back to constrain feature tracking in the next frame.
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تاریخ انتشار 2003