Abstract
This paper proposes an approach to estimate 3D rigid facial motions through a stereo image sequence. The approach uses a disparity space as the main space in order to represent all the 3D information. A robust algorithm based on the RANSAC approach is used to estimate the rigid motions through the image sequence. The disparity map is shown to be a robust feature against local motions of the surface and is therefore a very good alternative to the traditional use of the set of interest points.
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de la Blanca, N.P., Fuertes, J.M., Lucena, M. (2003). 3D Rigid Facial Motion Estimation from Disparity Maps. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24586-5_6
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DOI: https://doi.org/10.1007/978-3-540-24586-5_6
Publisher Name: Springer, Berlin, Heidelberg
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