Micro-Expression Spotting using the Riesz Pyramid

Abstract : Facial micro-expressions (MEs) are fast and involuntary facial expressions which reveal people hidden emotions. ME spotting refers to the process of finding the temporal locations of rapid facial movements from a video sequence. However, detecting these events is difficult due to their short durations and low intensities. Also, a distinction must be made between MEs and eye-related movements (blinking, eye-gaze change, etc). Taking inspiration from video magnification techniques, we design a workflow for automatically spotting MEs based on the Riesz pyramid. In addition , we propose a filtering and masking scheme that segment motions of interest without producing undesired arti-facts or delays. Furthermore, the system is able to differentiate between MEs and eye movements. Experiments are carried out on two databases containing videos of spontaneous micro-expressions. Finally, we show that our method is able to outperform other methods from the state of the art in this challenging task.
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Communication dans un congrès
WACV 2018, Mar 2018, Lake Tahoe, United States
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Contributeur : Carlos Arango Duque <>
Soumis le : vendredi 2 février 2018 - 11:42:31
Dernière modification le : jeudi 26 juillet 2018 - 01:10:29
Document(s) archivé(s) le : jeudi 3 mai 2018 - 08:37:21


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  • HAL Id : hal-01699355, version 1


Carlos Duque, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik. Micro-Expression Spotting using the Riesz Pyramid. WACV 2018, Mar 2018, Lake Tahoe, United States. 〈hal-01699355〉



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