Optimal classification method for smiling vs neutral facial display recognition

• Autorzy: Nurzyńska K. , Smołka B.
• Języki publikacji: EN

Abstrakty

EN

Human face depicts what happens in the soul, therefore correct recognition of emotion on the basis of facial display is of high importance. This work concentrates on the problem of optimal classification technique selection for solving the issue of smiling versus neutral face recognition. There are compared most frequently applied classification techniques: k-nearest neighbourhood, support vector machines, and template matching. Their performance is evaluated on facial images from several image datasets, but with similar image description methods based on local binary patterns. According to the experiments results the linear support vector machine gives the most satisfactory outcomes for all conditions.

Słowa kluczowe

EN

local binary patterns; support vector machine; k-nearest neighbourhood; template matching

PL

lokalne wzorce binarne; maszyna wektorów nośnych; dopasowanie wzorców

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2014
• Tom: Vol. 23
• Strony: 87--94
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Nurzyńska K.

• Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.

autor

Smołka B.

• Institute of Automatic Control, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.

Bibliografia

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