Human Face Detection and Head Pose Estimation on image and video - Hatem, Hiyam
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Robust face and face part detection under a wide range of conditions including illumination, scale, and pose and camera variation . The head poses easily estimated by obtaining the information of mouth and eyes from facial features on images and video We adopt affine motion model estimation, which can accommodate the shape change, as a tracking method. We propose a novel scheme to locate the nose tip in 3D facial data using the high intensity point based on cropping face region in the mesh data.

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Produktbeschreibung
Robust face and face part detection under a wide range of conditions including illumination, scale, and pose and camera variation . The head poses easily estimated by obtaining the information of mouth and eyes from facial features on images and video We adopt affine motion model estimation, which can accommodate the shape change, as a tracking method. We propose a novel scheme to locate the nose tip in 3D facial data using the high intensity point based on cropping face region in the mesh data.
Autorenporträt
She received the BS degree from the department of computer science,Baghdad university,Iraq,2003.The master degree from Huazhong University of science and technology Wuhan,China, in 2010.Currently, she finishes a PhD at School of information science and Engineering at Central south university,China in 2015. Her research interests pattern recognition