Abstract
This paper develops a methodology consisting of improved previously known methods and novel techniques for the model based coding of a human face. An image scene is analysed to locate the position of human faces and transform a generic three dimensional face model to reflect the characteristics extracted from the particular image. A set of feature points necessary to define the position and posture of the face is tracked through the image sequence and the three dimensional model is continuously adapted to the facial image of every subsequent frame. Results are shown for every individual module, while on going work aims to the integration of the component modules.
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© 1999 Springer-Verlag Berlin Heidelberg
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Sarris, N., Tzanetos, G., Strintzis, M.G. (1999). Three Dimensional Model Adaptation and Tracking of a Human Face. In: Leopold, H., García, N. (eds) Multimedia Applications, Services and Techniques — ECMAST’99. ECMAST 1999. Lecture Notes in Computer Science, vol 1629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48757-3_27
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DOI: https://doi.org/10.1007/3-540-48757-3_27
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