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Cognitive Neurodynamics
Erschienen in: Cognitive Neurodynamics 3/2021

12.10.2020 | Research Article

Geometrical features of lips using the properties of parabola for recognizing facial expression

verfasst von: V. Suma Avani, S. G. Shaila, A. Vadivel

Erschienen in: Cognitive Neurodynamics | Ausgabe 3/2021

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Abstract

Various real-time applications such as Human–Computer Interactions, Psychometric analysis, etc. use facial expressions as one of the important parameters. The researchers have used Action Units (AU) of the face as feature points and its deformation is compared with the reference points on the face to estimate the facial expressions. Among many parts of the face, features from the mouth contribute largely to all the well-known emotions. In this paper, the parabola theory is used to identify and mark various points on the lips. These points are considered as feature points to construct feature vectors. The Latus Rectum, Focal Point, Directrix, Vertex, etc. are also considered to identify the feature points of the lower lips and upper lips. The proposed approach is evaluated on benchmark datasets such as JAFFEE and Cohn–Kanade dataset and it is found that the performance is encouraging in understanding the facial expressions. The results are compared with contemporary methods and found that the proposed approach has given good classification accuracy in recognizing facial expressions.
Vorheriger Artikel EEG power spectral density in locked-in and completely locked-in state patients: a longitudinal study
Nächster Artikel Dependency analysis of frequency and strength of gamma oscillations on input difference between excitatory and inhibitory neurons

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Metadaten
Titel
Geometrical features of lips using the properties of parabola for recognizing facial expression
verfasst von
V. Suma Avani
S. G. Shaila
A. Vadivel
Publikationsdatum
12.10.2020
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 3/2021
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-020-09638-x

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