Erosion based Method for Quantification of Facial Palsy
AbstractThis paper presents a novel 3D face recognition method developed by means of erosion of a contractible topological space. The procedure was is involved in the quantification of facial palsy using pre-marked points. The recognition is done in two steps: in the first step a detection of the pre-marked mimic points on a human face is performed and in the second step the mutual distances between points are calculated. A procedure of deducing the mobility or the immobility of points and the amplitude of mimic points movement follows.
 M. Frey, A. Jenny, P. Giovanoli, and E. Stussi, Development of a new documentation system for facial movements as a basis for the international registry for neuromuscular reconstruction in the face, Plast Reconstr Surg, 93(7):1334-1349, 1994.
 M. Găianu, Contributions to the research of some problems of image recognition and retrieval (in Romanian), Thesis, West University of Timişoara, 2011.
 P.L. Hammer, S. Rudeanu, Boolean methods in operations research and related areas, Springer-Verlag, 1968.
 M. Kass, A. Witkin, and D. Terzopoulos,Snakes, active contour model, International Journal of Computer Vision, 321-331, 1988.
 D. Onchis and H. Feichtinger. Constructive reconstruction from irregular sampling in multiwindow spline-type spaces, General Proceedings of the 7th ISAAC Congress, London, 2010.
 S. Osher and J. A Sethian. Fronts propagating with curvature-dependent speed: Algorithms based on hamilton-jacobi formulations, Journal of Computational Physics, 79(1):12 - 49, 1988.
 A. Rosenfeld, Conectivity in Digital Pictures, J. ACM, 17(1):146-160, 1970.
 Rubner, Y., Guibas, L. and Tomasi, C. The Earth Mover's Distance, Multi-Dimensional Scaling, and color based image retrieval. In Proc. of the ARPA Image Under- standing Workshop, 661-668, 1997.
 Rubner, Y. and Tomasi, C., Perceptual Metrics for Image Database Navigation, Kluwer Academic Publishers, 2001.
 J. A. Sethian, A fast marching level set method for monotonically advancing fronts, Proceedings of the National Academy of Sciences of the United States of America, 93(4):1591-1595, 1996.
 J. A. Sethian. Level set methods and fast marching methods - evolving inter- faces in computational geometry, fluid mechanics, computer vision, and materials science. In Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science. Cambridge University Press, 1998.
 J. Sethian, Level Set Methods and Fast Marching Methods. Cambridge Monographs on Applied and Computational Mathematics, Cambridge University Press, 2nd ed., 1999.
 S.M. Smith, J.M. Brady, SUSAN - a new approach to low level image processin, Int. Journal of Computer Vision, 23(1):45-78, 1997.
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