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Detection and Recognition of Facial Emotion using Bezier Curves
Dankook University
Abstract Extracting and understanding of emotion is of high importance for the interaction among human and machine communication systems. The most expressive way to display the human¡¯s emotion is through facial expression analysis. This paper presents and implements an automatic extraction and recognition method of facial expression and emotion from still image. There are two steps to recognize the facial emotion; (1) Detecting facial region with color feature-map, and (2) Verifying the emotion of characteristic with Bezier curve. To evaluate the performance of the proposed algorithm, we assess the ratio of success with emotionally expressive facial image database. Experimental results shows average 78.8% of success to analyze and recognize the facial expression and emotion. The obtained result indicates the good performance and enough to applicable to mobile environments.
Keywords: Emotion Recognition, Face Recognition, Facial Expression Analysis, Bezier Curve. IT Convergence Practice (INPRA), Vol. 1, No. 2, pp. 11-19, June 2013 [pdf] |