Facial Expression Analysis by Support Vector Regression
نویسندگان
چکیده
Real-time Facial Expression analysis is one the important topics in the development of the next generation affect-sensitive user interfaces. However current algorithms and techniques are computationally expensive, and therefore are not suitable for real-time applications. In this paper we present a real-time system for analyzing the six basic facial expressions of the human user, using regression analysis. In this research we applied linear lighting correction algorithm and contrast-limited adaptive histogram equalization to enhance facial features. Polygonized vector image are applied instead of pixel represented image.
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