文献类型：期刊文献

英文题名：Face expression generation method based on interactive evolutionary algorithm and expression fusion

作者：Zhang, Yujia[1]; Kong, Zheping[1]; Pang, Jianping[1]; Zhao, Jiayu[1]; Liu, Mandan[1]

机构：[1] East China University of Science and Technology, School of Information Science and Engineering, Shanghai, China

年份：2024

起止页码：155

外文期刊名：2024 7th International Conference on Computer Information Science and Application Technology, CISAT 2024

收录：EI(收录号：20244317267548)

语种：英文

摘要：The generation of facial expressions has long been a challenging problem. In order to generate user-satisfactory facial expressions, this paper proposes an expression generation method based on an interactive evolutionary algorithm. The method employs an interactive evolutionary algorithm to optimize expression parameters in order to obtain satisfactory face expression parameters. Different face parameters express the fusion of predefined expressions in different parts of the face. By designing the face expression coding, it is possible to achieve a diversity of fusion effects in time and space, thus enabling the realization of a rich animation process of face expressions. ? 2024 IEEE.