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|Title:||Deformable face ensemble alignment with robust grouped-L1 anchors|
|Citation:||2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2013 / pp.1-7|
|Series/Report no.:||IEEE International Conference on Automatic Face and Gesture Recognition and Workshops|
|Conference Name:||IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) (22 Apr 2013 - 26 Apr 2013 : Shanghai, China)|
|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|
|Appears in Collections:||Computer Science publications|
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