Imperial College London
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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

@inproceedings{Zafeiriou:2016,
author = {Zafeiriou, L and Antonakos, E and Zafeiriou, S and Pantic, M},
publisher = {Computer Vision Foundation (CVF)},
title = {Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences},
url = {http://hdl.handle.net/10044/1/32348},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Typically, the problems of spatial and temporal alignmentof sequences are considered disjoint. That is, in orderto align two sequences, a methodology that (non)-rigidlyaligns the images is first applied, followed by temporalalignment of the obtained aligned images. In this paper, wepropose the first, to the best of our knowledge, methodologythat can jointly spatio-temporally align two sequences,which display highly deformable texture-varying objects.We show that by treating the problems of deformable spatialand temporal alignment jointly, we achieve better resultsthan considering the problems independent. Furthermore,we show that deformable spatio-temporal alignmentof faces can be performed in an unsupervised manner (i.e.,without employing face trackers or building person-specificdeformable models).
AU  - Zafeiriou,L
AU  - Antonakos,E
AU  - Zafeiriou,S
AU  - Pantic,M
PB  - Computer Vision Foundation (CVF)
PY  - 2016///
TI  - Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences
UR  - http://hdl.handle.net/10044/1/32348
ER  -
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