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Automatic recognition of smiling and neutral facial expressions

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conference contribution
posted on 2024-11-14, 11:08 authored by Peiyao Li, Son Lam PhungSon Lam Phung, Abdesselam BouzerdoumAbdesselam Bouzerdoum, Fok Hing Chi TiviveFok Hing Chi Tivive
Facial expression is one way humans convey their emotional states. Accurate recognition of facial expressions via image analysis plays a vital role in perceptual human computer interaction, robotics and online games. This paper focuses on recognising the smiling from the neutral facial expression. We propose a face alignment method to address the localisation error in existing face detection methods. In this paper, smiling and neutral facial expression are differentiated using a novel neural architecture that combines fixed and adaptive non-linear 2-D filters. The fixed filters are used to extract primitive features, whereas the adaptive filters are trained to extract more complex features for facial expression classification. The proposed approach is evaluated on the JAFFE database and it correctly aligns and crops all images, which is better than several existing methods evaluated on the same database. Our system achieves a classification rate of 99.0% for smiling versus neutral expressions.

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Citation

Li, P., Phung, S. L., Bouzerdoum, A. & Tivive, F. (2010). Automatic recognition of smiling and neutral facial expressions. 2010 Digital Image Computing: Techniques and Applications (DICTA 2010) (pp. 581-586). USA: IEEE.

Parent title

Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010

Pagination

581-586

Language

English

RIS ID

34874

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