3D Face Modeling Adjustment Based on Kriging

Fang Yuan He

doi:10.4028/www.scientific.net/AMM.329.488

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 3293D Face Modeling Adjustment Based on Kriging

3D Face Modeling Adjustment Based on Kriging

Abstract:

3D face modeling has been an important offset of computer graphics. It can be used in many fields. Modeling reality face of a given person is a difficult task because of the complexity of face surface. To improve the modeling results, kriging was used in 3D face modeling adjustment . The general face model is personalized using the space interpolation technology of Kriging. To improve the result of Kriging, the 3D model is smoothed by interpolating once again in a local area near every feature point, and then a better natural result is achieved. The final model is more human and natural.

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Periodical:

Applied Mechanics and Materials (Volume 329)

Pages:

488-492

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.329.488

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Online since:

June 2013

Authors:

Fang Yuan He

Keywords:

3D Face Modeling, General Face Model, Kriging, Space Interpolation

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References

[1] Y.Chibani, A.Houacine. On the Use of the Redundant Wavelet Transform for Multi- sensor Image Fusion. Proc of Int. Conference on Electronics, Circuits and Systems, New Jersey, IEEE Press,2000:442-445

DOI: 10.1109/icecs.2000.911575

Google Scholar

[2] Ying Tang, Jin Wang, Hujun Bao, et al. RBF-based Constrained Texture Mapping. Computer & Graphics.2003,(27):415-422

DOI: 10.1016/s0097-8493(03)00036-0

Google Scholar

[3] Z.Zhang, R.S. Blum. A Categorization of Multiscale-decomposition-based Image Fusion Schemes with a Performance Study for a Digital Camera Application. Proceedings of the IEEE,1999,87(8):1315-1326

DOI: 10.1109/5.775414

Google Scholar

[4] H.Li, B.S. Manjunath, S.mitra. Multisensor Image Fusion Using the Wavelet Transform. Graphical Models and Image Process,1995,57(3):235-245

DOI: 10.1006/gmip.1995.1022

Google Scholar

[5] V.Petrovic, C.Xydeax. Cross Band Pixel Selection in Multiresolution Image Fusion. Proc of SPIE on Sensor Fusion: Architectures, Algorithms and Application. Washington: SPIE Press,l999:3l9-326

DOI: 10.1117/12.341353

Google Scholar