In this paper, we introduce a semi-automatic deformation alignment method, Thin Plate Spline, to generate a 3D morphable face model from 3D face data. This model includes an average 3D face on both shape and texture, and a set of morphable coefficients for individual sample faces. A primary 3D morphable face model based on Chinese people is then set up. Simulation results show the feasibility of this 3D morphable model for 2D face recognition on with different PIE in future research. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Guo, H., Jiang, J., & Zhang, L. (2004). Building a 3D morphable face model by using thin plate splines for face reconstruction. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3338, 258–267. https://doi.org/10.1007/978-3-540-30548-4_30
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