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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.

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
Sie erhielt 2003 den Bachelor-Abschluss an der Fakultät für Informatik der Universität Bagdad im Irak, 2010 den Master-Abschluss an der Huazhong-Universität für Wissenschaft und Technologie in Wuhan, China, und promoviert derzeit an der School of Information Science and Engineering der Central South University, China, im Jahr 2015. Ihre Forschungsinteressen sind Mustererkennung.