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Emotion Recognition from Facial Expression Based on Bezier Curve

机译:基于贝塞尔曲线的面部表情情绪识别

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Human emotions are conveyed by different medium such as behaviours, actions, poses, facial expressions and speech. Multitudinous researches have been carried out to find out the relation between these mediums and emotions. This paper proposes a system which automatically recognizes the emotion represented on a face. Thus, a Bezier curve based solution together with image processing is used in classifying the emotions. Coloured face images are given as input to the system. Then, Image processing based feature point extraction method is applied to extract a set of selected feature points. Finally, extracted features like eyes and mouth, obtained after processing is given as input to the curve algorithm to recognize the emotion contained. Experimental results show average 60% of success to analyse and recognize emotion detection.
机译:人类的情感通过行为,行为,姿势,面部表情和言语等不同媒介传达。为了找到这些媒介与情绪之间的关系,已经进行了许多研究。本文提出了一种系统,该系统可以自动识别面部表情。因此,基于贝塞尔曲线的解决方案与图像处理一起用于对情绪进行分类。彩色的面部图像作为系统的输入。然后,基于图像处理的特征点提取方法被应用于提取一组选择的特征点。最后,将经过处理获得的诸如眼睛和嘴巴之类的提取特征作为曲线算法的输入,以识别其中包含的情绪。实验结果表明,平均有60%的成功分析和识别情绪检测。

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