Symmetric shape morphing and symmetry-factored shape modelling
Hang Dai, Nick Pears, Will Smith, Department of Computer Science, University of York, UK
Christian Duncan, Alder Hey Craniofacial Unit, Liverpool, UK
We have applied both symmetric morphing [1] and symmetry-factored modelling [2] to our 3D Morphable Modelling pipeline and demonstrated its effectiveness on the performance of 3D Morphable Models (3DMMs) of the human head.
The image below shows robustness of our symmetric morphing to typical 3D image artefacts
The image below shows the mean head shape and the first 5 principal components of symmetric head shape variation
Animations
Symmetric variations in head shape
Asymmetric variations in head shape
Publications
Symmetric Shape Morphing for 3D Face and Head Modelling
H. Dai, N. E. Pears, W. Smith and C. Duncan
Proc. 2018 IEEE Int. Conf. Automatic Face and Gesture Recognition (FG 2018 oral presentation) pp. 91-97
Symmetry-factored Statistical Modelling of Craniofacial Shape
H. Dai, W. Smith, N. E. Pears, and C. Duncan
Proc. 2017 PeopleCap Workshop, Int. Conf. Computer Vision (ICCV 2017) pp. 786-794
[PDF][BibTeX]
Project sponsors
We thank
Google, via their Faculty Research Awards Programme : Headspace Online (2017-18), with sponsor Forrester Cole.