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IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction

MPRSS 2014: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction pp 26–33Cite as

Multiple-manifolds Discriminant Analysis for Facial Expression Recognition from Local Patches Set

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8869))

Abstract

In this paper, a novel framework is proposed for feature extraction and classification of facial expression recognition, namely multiple manifold discriminant analysis (MMDA), which assumes samples of different expressions reside on different manifolds, thereby learning multiple projection matrices from training set. In particular, MMDA first incorporates five local patches, including the regions of left and right eyes, mouth and left and right cheeks from each training sample to form a new training set, and then learns projection matrix from each expression so that maximizes the manifold margins among different expressions and minimizes the manifold distances of the same expression. A key feature of MMDA is that it can extract the discriminative information of expression-specific for classification rather than that of subject-specific, leading to a robust performance in practical applications. Our experiments on Cohn-Kanade and JAFFE databases demonstrate that MMDA can effectively enhance the discriminant power of the extracted expression features.

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Author information

Authors and Affiliations

  1. School of Information Engineering, Zhengzhou University, Zhengzhou, China

    Ning Zheng & Lin Qi

  2. Ryerson Multimedia Research Laboratory, Ryerson University, Toronto, Canada

    Ling Guan

Authors
  1. Ning Zheng
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  2. Lin Qi
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  3. Ling Guan
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Corresponding author

Correspondence to Ling Guan .

Editor information

Editors and Affiliations

  1. University of Ulm, Universität Ulm, Ulm, Germany

    Friedhelm Schwenker

  2. University of Southern California, Playa Vista, California, USA

    Stefan Scherer

  3. University of Southern California, Playa Vista, California, USA

    Louis-Philippe Morency

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© 2015 Springer International Publishing Switzerland

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Zheng, N., Qi, L., Guan, L. (2015). Multiple-manifolds Discriminant Analysis for Facial Expression Recognition from Local Patches Set. In: Schwenker, F., Scherer, S., Morency, LP. (eds) Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. MPRSS 2014. Lecture Notes in Computer Science(), vol 8869. Springer, Cham. https://doi.org/10.1007/978-3-319-14899-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-14899-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14898-4

  • Online ISBN: 978-3-319-14899-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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