Geodesic
A 3D Head Model From Stereo Images by a Self-Organizing Neural Network
Journal for geometry and graphics, Tome 13 (2009) no. 2, pp. 209-22.

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A model based approach is presented for generating 3D face models from two stereo images. The proposed method works with a small number of feature points of the face. The automatically registrated point pairs are used to reconstruct their 3D correspondence, then a predefined general face model is adjusted to the reconstructed 3D points. Fitting the general face model to the feature points is made iteratively by applying a self-organizing neural network.
Classification : 68U05, 51N05, 51N20
Mots-clés : 3D face model, stereo images, neural network 
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     author = {L. Saj� and M. Hoffmann and A. Fazekas },
     title = {A {3D} {Head} {Model} {From} {Stereo} {Images} by a {Self-Organizing} {Neural} {Network}},
     journal = {Journal for geometry and graphics},
     pages = {209--22},
     publisher = {mathdoc},
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     number = {2},
     year = {2009},
     url = {http://geodesic.mathdoc.fr/item/JGG_2009_13_2_JGG_2009_13_2_a6/}
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L. Saj�; M. Hoffmann; A. Fazekas . A 3D Head Model From Stereo Images by a Self-Organizing Neural Network. Journal for geometry and graphics, Tome 13 (2009) no. 2, pp. 209-22. http://geodesic.mathdoc.fr/item/JGG_2009_13_2_JGG_2009_13_2_a6/