Abstract
In this paper, we reconstruct the corresponding 3D face model using only one 2D image. 3D feature points are obtained by optimally approximating 2D feature points set with defined similarity. Then, a shape model is reconstructed by the warp function algorithm. Finally, a realistic face model is created through texture mapping with registration method such as affine transform. Results show that the models we reconstruct are comparatively realistic, and they can be used for face recognition or computer animation. The computation speed is also satisfying.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lu, C., Jie, Y. (2006). Automatic 3D Face Model Reconstruction Using One Image. In: Zheng, N., Jiang, X., Lan, X. (eds) Advances in Machine Vision, Image Processing, and Pattern Analysis. IWICPAS 2006. Lecture Notes in Computer Science, vol 4153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821045_25
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DOI: https://doi.org/10.1007/11821045_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37597-5
Online ISBN: 978-3-540-37598-2
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