Anchored deformable face ensemble alignment

Cheng, Xin, Sridharan, Sridha, Saragih, Jason M., & Lucey, Simon (2012) Anchored deformable face ensemble alignment. In Fusiello, Andrea, Murino, Vittorio, & Cucchiara, Rita (Eds.) Lecture Notes in Computer Science, Springer Berlin Heidelberg, Florence, Italy, pp. 133-142.

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At present, many approaches have been proposed for deformable face alignment with varying degrees of success. However, the common drawback to nearly all these approaches is the inaccurate landmark registrations. The registration errors which occur are predominantly heterogeneous (i.e. low error for some frames in a sequence and higher error for others). In this paper we propose an approach for simultaneously aligning an ensemble of deformable face images stemming from the same subject given noisy heterogeneous landmark estimates. We propose that these initial noisy landmark estimates can be used as an “anchor” in conjunction with known state-of-the-art objectives for unsupervised image ensemble alignment. Impressive alignment performance is obtained using well known deformable face fitting algorithms as “anchors.

Impact and interest:

3 citations in Scopus
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ID Code: 53968
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Face Alignment, Congealing, Batch Alignment, Ensemble Alignment, Nonrigid alignment
DOI: 10.1007/978-3-642-33863-2_14
ISBN: 9783642338625
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Springer
Copyright Statement: The original publication is available at SpringerLink
Deposited On: 03 Oct 2012 22:08
Last Modified: 05 Oct 2012 12:49

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