Deep, dense and accurate 3D face correspondence for generating population specific deformable models
© 2017 Elsevier Ltd We present a multilinear algorithm to automatically establish dense point-to-point correspondence over an arbitrarily large number of population specific 3D faces across identities, facial expressions and poses. The algorithm is initialized with a subset of anthropometric landma...
| Main Authors: | Gilani, S., Mian, A., Eastwood, Peter |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier
2017
|
| Online Access: | http://hdl.handle.net/20.500.11937/63382 |
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