Imperial College London
Alternate

STEFANOS ZAFEIRIOU, PhD

Faculty of Engineering, Department of Computing

Professor in Machine Learning & Computer Vision
 
 
 
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Contact

 

+44 (0)20 7594 8461s.zafeiriou Website CV

 
 
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Location

 

375Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Booth:2018:10.1007/s11263-017-1009-7,
author = {Booth, JA and Roussos, A and Ponniah, A and Dunaway, D and Zafeiriou, S},
doi = {10.1007/s11263-017-1009-7},
journal = {International Journal of Computer Vision},
pages = {233--254},
title = {Large scale 3D morphable models},
url = {http://dx.doi.org/10.1007/s11263-017-1009-7},
volume = {126},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We present large scale facial model (LSFM)—a 3D Morphable Model (3DMM) automatically constructed from 9663 distinct facial identities. To the best of our knowledge LSFM is the largest-scale Morphable Model ever constructed, containing statistical information from a huge variety of the human population. To build such a large model we introduce a novel fully automated and robust Morphable Model construction pipeline, informed by an evaluation of state-of-the-art dense correspondence techniques. The dataset that LSFM is trained on includes rich demographic information about each subject, allowing for the construction of not only a global 3DMM model but also models tailored for specific age, gender or ethnicity groups. We utilize the proposed model to perform age classification from 3D shape alone and to reconstruct noisy out-of-sample data in the low-dimensional model space. Furthermore, we perform a systematic analysis of the constructed 3DMM models that showcases their quality and descriptive power. The presented extensive qualitative and quantitative evaluations reveal that the proposed 3DMM achieves state-of-the-art results, outperforming existing models by a large margin. Finally, for the benefit of the research community, we make publicly available the source code of the proposed automatic 3DMM construction pipeline, as well as the constructed global 3DMM and a variety of bespoke models tailored by age, gender and ethnicity.
AU  - Booth,JA
AU  - Roussos,A
AU  - Ponniah,A
AU  - Dunaway,D
AU  - Zafeiriou,S
DO  - 10.1007/s11263-017-1009-7
EP  - 254
PY  - 2018///
SN  - 1573-1405
SP  - 233
TI  - Large scale 3D morphable models
T2  - International Journal of Computer Vision
UR  - http://dx.doi.org/10.1007/s11263-017-1009-7
UR  - http://hdl.handle.net/10044/1/45997
VL  - 126
ER  -
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