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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Face pose estimation and tracking using automatic 3D model construction
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Pedro Jimenez, Department of Electronics, University of Alcala, CAMPUS. 28805 Alcala de Henares (Madrid), Spain
Jesus Nuevo, Department of Electronics, University of Alcala, CAMPUS. 28805 Alcala de Henares (Madrid), Spain
Luis M. Bergasa, Department of Electronics, University of Alcala, CAMPUS. 28805 Alcala de Henares (Madrid), Spain
This paper presents a method for robustly tracking and estimating the face pose of a person in both indoor and outdoor environments. The method is invariant to identity and that does not require previous training. A face model is automatically initialized and constructed on-line, when the face is frontal to the stereo camera system. To build the model, a fixed point distribution is superposed over the frontal face, and several appropriate points close to those locations are chosen for tracking. Using the stereo correspondence of the two cameras, the 3D coordinates of these points are extracted, and the 3D model is created. RANSAC and POSIT are used for tracking and 3D pose calculation at each frame. The approach runs in real time, and has been tested on sequences recorded in the laboratory and in a moving car.
Citation:
Pedro Jimenez, Jesus Nuevo, Luis M. Bergasa, "Face pose estimation and tracking using automatic 3D model construction," cvprw, pp.1-7, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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