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Generation of facial expression using chaotic retrieval

机译:使用混沌检索生成面部表情

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A chaotic retrieval method in a fuzzy associative memory system for generating facial expressions is proposed. Simulation results show that the proposed method has the following functions: 1) the memorized patterns in the range near an external input pattern are dynamically retrieved and the range can be restricted by one parameter which defines the degree of the system nonlinearity; and 2) the nonmemorized and valid patterns are retrieved. The results also show that the method can generate facial expressions that match a user image. Therefore, since a user can be automatically presented with facial expressions that better match his image and his image thereby gradually becomes clear, the proposed method is effective for supporting human creativity.
机译:提出了一种在模糊联想记忆系统中生成人脸表情的混沌检索方法。仿真结果表明,该方法具有以下功能:1)动态获取外部输入模式范围内的存储模式,该范围可以通过一个定义系统非线性程度的参数来限制; 2)检索未记忆且有效的模式。结果还表明,该方法可以生成与用户图像匹配的面部表情。因此,由于可以自动向用户呈现与他的图像更好地匹配的面部表情,并且因此他的图像逐渐变得清晰,因此所提出的方法对于支持人类创造力是有效的。

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