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Dai et al., 2017 - Google Patents

A 3d morphable model of craniofacial shape and texture variation

Dai et al., 2017

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Document ID
2626490226382823016
Author
Dai H
Pears N
Smith W
Duncan C
Publication year
Publication venue
Proceedings of the IEEE international conference on computer vision

External Links

Snippet

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. We propose a dense …
Continue reading at openaccess.thecvf.com (PDF) (other versions)

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