Abstract
The correct interpretation of facial emotions is important for many applications like psychology or human-machine interaction. In this paper, a novel set of features for emotion classification from images is introduced. Based on landmark points extracted from the face, angles between point-connecting lines and size information of mouth and eyes are extracted. Experiments compare the quality and reliability of the feature set to landmark-based features and facial action unit based features.
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The research and development project on which this report is based is being funded by the Federal Ministry of Transport and Digital Infrastructure within the mFUND research initiative.
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Dunau, P., Bonny, M., Huber, M.F., Beyerer, J. (2019). Reduced Feature Set for Emotion Recognition Based on Angle and Size Information. In: Strand, M., Dillmann, R., Menegatti, E., Ghidoni, S. (eds) Intelligent Autonomous Systems 15. IAS 2018. Advances in Intelligent Systems and Computing, vol 867. Springer, Cham. https://doi.org/10.1007/978-3-030-01370-7_46
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DOI: https://doi.org/10.1007/978-3-030-01370-7_46
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