Artificial intelligence

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Analysis of facial expressions on a human face

Krak U.1, Kuznetsov V.2, Ternov A.3
1 Taras Shevchenko National University of Kyiv
2 V.M. Hlushkov Institute of Cybernetics of NAS of Ukraine
3 V.M. Glushkov Institute of Cybernetics

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UDC: 004.8
Publication Language: Russian
Stuc. intelekt. 2015; 20(3-4):37-50

Abstract: Facial expressions were recorded on video, stored in facial expressions videolibrary and processed by means of computer vision. Numeric values were analyzed by two algorithms – one layer perceptron and perceptron combined with Karhunen-Loeve transform, singular value decomposition, discrete cosine transform and Fourier transform as a source of teach data. Each algorithm was tested on test data sets. Some solutions were proposed in order to improve quality of analyzed data and effectiveness of facial expression classification algorithms.

Keywords: facial expressions, classification algorithms, perceptron, Karhunen-Loeve transform.

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