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Improved facial expression recognition via uni-hyperplane classification

Chew, Sien Wei, Lucey, Simon, Lucey, Patrick J., & Sridharan, Sridha (2012) Improved facial expression recognition via uni-hyperplane classification. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, Rhode Island Convention Center, Providence, Rhode Island, pp. 2554-2561. (In Press)

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Abstract

Large margin learning approaches, such as support vector machines (SVM), have been successfully applied to numerous classification tasks, especially for automatic facial expression recognition. The risk of such approaches however, is their sensitivity to large margin losses due to the influence from noisy training examples and outliers which is a common problem in the area of affective computing (i.e., manual coding at the frame level is tedious so coarse labels are normally assigned). In this paper, we leverage the relaxation of the parallel-hyperplanes constraint and propose the use of modified correlation filters (MCF). The MCF is similar in spirit to SVMs and correlation filters, but with the key difference of optimizing only a single hyperplane. We demonstrate the superiority of MCF over current techniques on a battery of experiments.

Impact and interest:

2 citations in Scopus
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0 citations in Web of Science®

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Full-text downloads:

203 since deposited on 22 Apr 2012
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ID Code: 49809
Item Type: Conference Paper
Additional URLs:
Keywords: support vector machines, correlation filters, facial expression recognition
DOI: 10.1109/CVPR.2012.6247973
ISBN: 978-146731226-4
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
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 [Please consult the author]
Deposited On: 23 Apr 2012 09:09
Last Modified: 15 May 2013 15:48

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