Abstract
Constructing 3-D personalized face model with 2-D face photographs is an active topic in 3-D face modeling research. Presently, almost all methods focus on using a constrained equation to construct 3-D personalized face. Due to the complex structure of human face, these methods can’t delicately represent facial organ surfaces, and the computation cost of these methods is greater. In this paper, a method for reconstructing 3-D personalized face based on multi-layer and multi-region with RBFs is presented. First, the generic face model is reconstructed based on multi-layer and multi-region with RBFs, in which two layers are designed and four facial organs are separated. Then, the edges between layers are smoothed with influence factors of the layers. Finally, the facial texture is mapped onto the reconstructed personalized face model. Experiments show that this method is simple and efficient.
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© 2006 Springer-Verlag Berlin Heidelberg
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Zhan, Y., Shen, R., Zhang, J. (2006). 3-D Personalized Face Reconstruction Based on Multi-layer and Multi-region with RBFs. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_80
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DOI: https://doi.org/10.1007/11941354_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49776-9
Online ISBN: 978-3-540-49779-0
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