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A 3D face registration algorithm based on conformal mapping
Author(s) -
Qian Kun,
Su Kehua,
Zhang Jialing,
Li Yinghua
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4654
Subject(s) - conformal map , landmark , face (sociological concept) , robustness (evolution) , computer science , polygon mesh , artificial intelligence , computer vision , image registration , harmonic map , algorithm , image (mathematics) , mathematics , computer graphics (images) , geometry , social science , biochemistry , chemistry , sociology , gene
Summary Recently, 3D facial datasets are more easily available, and at the same time, the research of 3D face becomes more and more important. One of the most important research fields is 3D face registration, which plays an important role in face recognition, face shape analysis, and face animation. However, one of the most challenging issues in 3D face registration is to obtain a unique mapping for faces with different expression and landmark constraints. In this paper, we propose a novel conformal mapping algorithm to deal with the 3D face registration. Besides, the calculation is about harmonic energy, which makes our method applicable to low‐quality meshes. We begin with a harmonic mapping, then minimize the harmonic energy by a specific boundary condition on surfaces, and to obtain the conformal mapping, finally, we use a landmark‐constrained surface registration algorithm to register faces. Numerical experiments on various surfaces demonstrate the efficiency and robustness of our method.