Imperial College London

STEFANOS ZAFEIRIOU, PhD

Faculty of EngineeringDepartment of Computing

Reader in Machine Learning and 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

@inproceedings{Kollias:2019:10.1007/978-3-030-11012-3_36,
author = {Kollias, D and Cheng, S and Pantic, M and Zafeiriou, S},
doi = {10.1007/978-3-030-11012-3_36},
pages = {475--491},
publisher = {Springer},
title = {Photorealistic facial synthesis in the dimensional affect space},
url = {http://dx.doi.org/10.1007/978-3-030-11012-3_36},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - This paper presents a novel approach for synthesizing facial affect, which is based on our annotating 600,000 frames of the 4DFAB database in terms of valence and arousal. The input of this approach is a pair of these emotional state descriptors and a neutral 2D image of a person to whom the corresponding affect will be synthesized. Given this target pair, a set of 3D facial meshes is selected, which is used to build a blendshape model and generate the new facial affect. To synthesize the affect on the 2D neutral image, 3DMM fitting is performed and the reconstructed face is deformed to generate the target facial expressions. Last, the new face is rendered into the original image. Both qualitative and quantitative experimental studies illustrate the generation of realistic images, when the neutral image is sampled from a variety of well known databases, such as the Aff-Wild, AFEW, Multi-PIE, AFEW-VA, BU-3DFE, Bosphorus.
AU - Kollias,D
AU - Cheng,S
AU - Pantic,M
AU - Zafeiriou,S
DO - 10.1007/978-3-030-11012-3_36
EP - 491
PB - Springer
PY - 2019///
SN - 0302-9743
SP - 475
TI - Photorealistic facial synthesis in the dimensional affect space
UR - http://dx.doi.org/10.1007/978-3-030-11012-3_36
UR - http://hdl.handle.net/10044/1/69230
ER -