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Expression-preserving face frontalization improves visually assisted speech processing. (arXiv:2204.02810v1 [cs.CV])
April 7, 2022, 1:10 a.m. | Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Jacob Donley, Anurag Kumar, Xavier Alameda-Pineda
cs.CV updates on arXiv.org arxiv.org
Face frontalization consists of synthesizing a frontally-viewed face from an
arbitrarily-viewed one. The main contribution of this paper is a frontalization
methodology that preserves non-rigid facial deformations in order to boost the
performance of visually assisted speech communication. The method alternates
between the estimation of (i)~the rigid transformation (scale, rotation, and
translation) and (ii)~the non-rigid deformation between an arbitrarily-viewed
face and a face model. The method has two important merits: it can deal with
non-Gaussian errors in the data and …
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