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Generation of facial expression using chaotic retrieval

机译:使用混沌检索产生面部表情

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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:提出了一种用于生成面部表情的模糊关联存储器系统中的混沌检索方法。仿真结果表明,该方法具有以下功能:1)动态检索外部输入图案附近的范围内的记忆模式,范围可以限制一个参数,限定系统非线性的程度; 2)检索非识别和有效模式。结果还表明该方法可以生成与用户图像匹配的面部表达式。因此,由于用户可以自动地呈现具有更好地匹配他的图像的面部表达和他的图像,从而逐渐变得清晰,所提出的方法对于支持人类的创造性是有效的。

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