Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/127421
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Type: Conference paper
Title: Deformable face ensemble alignment with robust grouped-L1 anchors
Author: Cheng, X.
Fookes, C.
Sridharan, S.
Saragih, J.
Lucey, S.
Citation: 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2013, pp.1-7
Publisher: IEEE
Issue Date: 2013
Series/Report no.: IEEE International Conference on Automatic Face and Gesture Recognition and Workshops
ISBN: 9781467355452
ISSN: 2326-5396
Conference Name: IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) (22 Apr 2013 - 26 Apr 2013 : Shanghai, China)
Statement of
Responsibility: 
Xin Cheng, Clinton Fookes, Sridha Sridharan, Jason Saragih, and Simon Lucey
Abstract: Many methods exist at the moment for deformable face fitting. A drawback to nearly all these approaches is that they are (i) noisy in terms of landmark positions, and (ii) the noise is biased across frames (i.e. the misalignment is toward common directions across all frames). In this paper we propose a grouped L1-norm anchored method for simultaneously aligning an ensemble of deformable face images stemming from the same subject, given noisy heterogeneous landmark estimates. Impressive alignment performance improvement and refinement is obtained using very weak initialization as “anchors”.
Rights: Copyright © 2013, IEEE
DOI: 10.1109/FG.2013.6553739
Grant ID: http://purl.org/au-research/grants/arc/DP1110827
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