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Towards a Complete 3D Morphable Model of the Human Head.

Authors :
Ploumpis, Stylianos
Ververas, Evangelos
Sullivan, Eimear Oa
Moschoglou, Stylianos
Wang, Haoyang
Pears, Nick
Smith, William A. P.
Gecer, Baris
Zafeiriou, Stefanos
Source :
IEEE Transactions on Pattern Analysis & Machine Intelligence. Nov2021, Vol. 43 Issue 11, p4142-4160. 19p.
Publication Year :
2021

Abstract

Three-dimensional morphable models (3DMMs) are powerful statistical tools for representing the 3D shapes and textures of an object class. Here we present the most complete 3DMM of the human head to date that includes face, cranium, ears, eyes, teeth and tongue. To achieve this, we propose two methods for combining existing 3DMMs of different overlapping head parts: (i). use a regressor to complete missing parts of one model using the other, and (ii). use the Gaussian Process framework to blend covariance matrices from multiple models. Thus, we build a new combined face-and-head shape model that blends the variability and facial detail of an existing face model (the LSFM) with the full head modelling capability of an existing head model (the LYHM). Then we construct and fuse a highly-detailed ear model to extend the variation of the ear shape. Eye and eye region models are incorporated into the head model, along with basic models of the teeth, tongue and inner mouth cavity. The new model achieves state-of-the-art performance. We use our model to reconstruct full head representations from single, unconstrained images allowing us to parameterize craniofacial shape and texture, along with the ear shape, eye gaze and eye color. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01628828
Volume :
43
Issue :
11
Database :
Academic Search Index
Journal :
IEEE Transactions on Pattern Analysis & Machine Intelligence
Publication Type :
Academic Journal
Accession number :
153710028
Full Text :
https://doi.org/10.1109/TPAMI.2020.2991150