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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Estimating 3D facial pose in video with just three points
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Gines Garcia-Mateos, Dept. Informatica y Sistemas, University of Murcia, 30100 Spain
Alberto Ruiz, Dept. Informatica y Sistemas, University of Murcia, 30100 Spain
Pedro E. Lopez-de-Teruel, Dept. Ingenieria y Tecnologia de Computadores, University of Murcia, 30100 Spain
Antonio L. Rodriguez, Dept. Ingenieria y Tecnologia de Computadores, University of Murcia, 30100 Spain
Lorenzo Fernandez, Dept. Ingenieria y Tecnologia de Computadores, University of Murcia, 30100 Spain
Estimating facial pose along a video sequence is an important problem in many applications such as perceptual user interfaces, people monitoring, and aid for the disabled. Currently, most existing methods to compute facial pose are designed to obtain high accuracy under controlled conditions. However, efficiency and robustness are preferable in most practical situations. In this paper, we deal with the problem of 3D pose estimation with the aim to design a fast and approximate solution that requires a minimum amount of information: our method is able to work with just the location of three points —the eyes and the mouth— in each frame. Using that information, and introducing several as sumptions —that could hold in many cases—, we show how to estimate the six degrees of freedom of facial position and orientation. Moreover, one single point could be enough after initializing the system. The obtained accuracy greatly depends on the precision of the underlying 2D face tracker. The system is generic and does not require to be trained for each new user.
Citation:
Gines Garcia-Mateos, Alberto Ruiz, Pedro E. Lopez-de-Teruel, Antonio L. Rodriguez, Lorenzo Fernandez, "Estimating 3D facial pose in video with just three points," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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