Imperial College London
Alternate

STEFANOS ZAFEIRIOU, PhD

Faculty of Engineering, Department of Computing

Professor in Machine Learning & Computer Vision
 
 
 
//

Contact

 

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

 
 
//

Location

 

375Huxley BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Booth:2017:10.1109/CVPR.2017.580,
author = {Booth, J and Antonakos, E and Ploumpis, S and Trigeorgis, G and Panagakis, Y and Zafeiriou, S},
doi = {10.1109/CVPR.2017.580},
pages = {5464--5473},
publisher = {IEEE},
title = {3D Face Morphable Models "In-the-Wild"},
url = {http://dx.doi.org/10.1109/CVPR.2017.580},
year = {2017}
}
Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - 3D Morphable Models (3DMMs) are powerful statisticalmodels of 3D facial shape and texture, and among the state-of-the-art methods for reconstructing facial shape from sin-gle images. With the advent of new 3D sensors, many 3D fa-cial datasets have been collected containing both neutral aswell as expressive faces. However, all datasets are capturedunder controlled conditions.   Thus,  even though powerful3D facial shape models can be learnt from such data, it isdifficult to build statistical texture models that are sufficientto reconstruct faces captured in unconstrained conditions(“in-the-wild”).  In this paper, we propose the first, to thebest of our knowledge, “in-the-wild” 3DMM by combininga powerful statistical model of facial shape, which describesboth identity and expression, with an “in-the-wild” texturemodel.  We show that the employment of such an “in-the-wild” texture model greatly simplifies the fitting procedure,because there is no need to optimise with regards to the illu-mination parameters.  Furthermore, we propose a new fastalgorithm  for  fitting  the  3DMM  in  arbitrary  images.   Fi-nally,  we  have captured the  first 3D facial database  withrelatively unconstrained conditions and report quantitativeevaluations with state-of-the-art performance. Complemen-tary qualitative reconstruction results are demonstrated onstandard “in-the-wild” facial databases.
AU  - Booth,J
AU  - Antonakos,E
AU  - Ploumpis,S
AU  - Trigeorgis,G
AU  - Panagakis,Y
AU  - Zafeiriou,S
DO  - 10.1109/CVPR.2017.580
EP  - 5473
PB  - IEEE
PY  - 2017///
SN  - 1063-6919
SP  - 5464
TI  - 3D Face Morphable Models "In-the-Wild"
UR  - http://dx.doi.org/10.1109/CVPR.2017.580
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000418371405059&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/69914
ER  -
Download