no code implementations • ICCV 2017 • Hang Dai, Nick Pears, William A. P. Smith, Christian Duncan
We present a fully automatic pipeline to train 3D Morphable Models (3DMMs), with contributions in pose normalisation, dense correspondence using both shape and texture information, and high quality, high resolution texture mapping.
no code implementations • 21 Jan 2016 • Nick Pears, Christian Duncan
Three-dimensional models of craniofacial variation over the general population are useful for assessing pre- and post-operative head shape when treating various craniofacial conditions, such as craniosynostosis.