Abstract
In medical area, the technology of 3D visualization has been widely used and the method of high-quality synthesizing of human face is of great importance. In this paper, we present a method to synthesize a high-quality human face. We employ three 2D digital color photos to obtain high-resolution textures and take advantages of 3D face model reconstructed from CT data for flexible deformation of finite elements. We get the accurately projective parameters from 3D face model to 2D photos via the iterative algorithm of DSM. We use multi-texture map** of OpenGL to avoid splicing crack and accelerate the whole fusing process due to GPU-based parallel processing. Experimental results show that our method can synthesize a high-definition and realistic human face on standard PC hardware.
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**e, K., Liu, B., Ruan, N., Chen, J. (2014). The Reconstruction of 3D Human Face Based on the Post-Plastic Surgery. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_80
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DOI: https://doi.org/10.1007/978-3-662-45049-9_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45048-2
Online ISBN: 978-3-662-45049-9
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