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Reduced feature set for emotion recognition based on angle and size information

: Dunau, P.; Bonny, M.; Huber, M.F.; Beyerer, J.


Strand, M.:
Intelligent Autonomous Systems 15 : Proceedings of the 15th International Conference IAS-15, June 11-15, 2018, Baden-Baden, Germany
Cham: Springer Nature, 2019 (Advances in Intelligent Systems and Computing 867)
ISBN: 978-3-030-01369-1 (Print)
ISBN: 978-3-030-01370-7 (Online)
International Conference on Intelligent Autonomous Systems (IAS) <15, 2018, Baden-Baden>
Conference Paper
Fraunhofer IOSB ()

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.