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Nonrigid-Deformation Recovery for 3D Face Recognition Using Multiscale Registration
May-June 2012 (vol. 32 no. 3)
pp. 37-45
Liang Cai, Southeast University
Feipeng Da, Southeast University
Nonrigid deformation is a fundamental feature in face recognition. A proposed method extracts nonrigid deformation by finding the mapping between two shapes. To improve registration accuracy, it integrates geometric shape decomposition and nonrigid point-set registration. On the basis of manifold harmonics, the method first decomposes shapes into low-frequency and high-frequency parts. Then, it applies the modified registration algorithm to obtain deformation parameters. An extensive set of experiments evaluated the method's performance on the FRGC (Face Recognition Grand Challenge) v2 database. The method achieved not only higher accuracy for fitting but also 98.2 percent identification and 97.4 percent verification at a 0.001 false-acceptance rate.

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Index Terms:
3D face recognition, deformable models, nonrigid registration, multiscale registration, computer graphics, graphics and multimedia
Citation:
Liang Cai, Feipeng Da, "Nonrigid-Deformation Recovery for 3D Face Recognition Using Multiscale Registration," IEEE Computer Graphics and Applications, vol. 32, no. 3, pp. 37-45, May-June 2012, doi:10.1109/MCG.2010.99
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