基于云模型的人脸表情挖掘

Shuliang Wang, He-hua Chi, Xiao Feng, Jinfei Yin
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引用次数: 2

摘要

为了有效地对人类面部表情进行识别和分析,本文采用云模型对人类面部表情知识进行挖掘。不确定度的后向云生成器将原始输入图像视为云滴图像。输出用于描述三个数值特征-(Ex, En, He)。云模型的三个数值特征(Ex、En、He)如何体现面部表情的知识?利用两组不同的原始图像,通过两个实验来解释三个数值特征(Ex, En, He)的具体含义。在实验中,可以对人脸表情进行深刻的认识,即Ex为标准人脸的共性,En为差异,He为差异的范围。
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Human facial expression mining based on cloud model
In order to make the human facial expression recognition and analysis effectively, cloud model is used to mine the knowledge of human facial expression in this paper. Backward cloud generator without certainty degree treats the original input image as a cloud droplet image. The outputs are used to describe the three numerical characteristics-(Ex, En, He). How the three numerical characteristics of the cloud model (Ex, En, He) to embody the knowledge of facial expression? With two different sets of original images, two experiments are made to explain the specific meaning of the three numerical characteristics (Ex, En, He). Under the experiments, the profound knowledge may be extracted on the facial expression, i.e. Ex is the common of standard face, En is the difference, and He is the range of the difference.
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