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Facial Expression Recognition and Ordinal Intensity Estimation: A Multilabel Learning Approach

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Advances in Visual Computing (ISVC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12510))

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Abstract

Facial Expression Recognition has gained considerable attention in the field of affective computing, but only a few works considered the intensity of emotion embedded in the expression. Even the available studies on expression intensity estimation successfully assigned a nominal/regression value or classified emotion in a range of intervals. The approaches from multiclass and its extensions do not conform to man heuristic manner of recognising emotion with the respective intensity. This work is presenting a Multi-label CNN-based model which could simultaneously recognise emotion and also provide ordinal metrics as the intensity of the emotion. In the experiments conducted on BU-3DFE and Cohn Kanade (CK+) datasets, we check how well our model could adapt and generalise. Our model gives promising results with multilabel evaluation metrics and generalise well when trained on BU-3DFE and evaluated on CK+.

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Authors and Affiliations

  1. School of Mathematics, Statistics and Computer Sciences, University of KwaZulu-Natal, Durban, South Africa

    Olufisayo Ekundayo & Serestina Viriri

Authors
  1. Olufisayo Ekundayo
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  2. Serestina Viriri
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Corresponding author

Correspondence to Serestina Viriri .

Editor information

Editors and Affiliations

  1. University of Nevada Reno, Reno, NV, USA

    George Bebis

  2. Stony Brook University, Stony Brook, NY, USA

    Zhaozheng Yin

  3. Drexel University, Philadelphia, PA, USA

    Edward Kim

  4. RWTH Aachen University, Aachen, Germany

    Jan Bender

  5. University of Edinburgh, Edinburgh, UK

    Kartic Subr

  6. IBM Research – Cambridge, Cambridge, MA, USA

    Bum Chul Kwon

  7. University of Waterloo, Waterloo, ON, Canada

    Jian Zhao

  8. Graz University of Technology, Graz, Austria

    Denis Kalkofen

  9. The Hong Kong Polytechnic University, Hong Kong, Hong Kong

    George Baciu

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Ekundayo, O., Viriri, S. (2020). Facial Expression Recognition and Ordinal Intensity Estimation: A Multilabel Learning Approach. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2020. Lecture Notes in Computer Science(), vol 12510. Springer, Cham. https://doi.org/10.1007/978-3-030-64559-5_46

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  • DOI: https://doi.org/10.1007/978-3-030-64559-5_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64558-8

  • Online ISBN: 978-3-030-64559-5

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