Facial Feature Information Based Computer-aided Emoticon Design System

Chen Zhu, Wang Yan, Si Zheng Ming
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Abstract

Computer-aided design has been studied for decades. Under the current technical background, computer technology can be used to express designers' ideas more efficiently and design suitable products for users. However, there are not many applications on emoticons. This paper proposes a social network emoticon design system framework which combines face recognition technology and feature extraction technology. Through case practice, the conclusion is that the emoticon design system based on facial feature information can be used in large quantities for different users to design personalized emoticons, software tools for imaging can make a large number of personalized design into reality. Based on this, intelligent image design software has great development space and application value.
基于面部特征信息的计算机辅助表情符号设计系统
计算机辅助设计已经研究了几十年。在当前的技术背景下,利用计算机技术可以更有效地表达设计师的想法,设计出适合用户的产品。然而,表情符号的应用并不多。本文提出了一种结合人脸识别技术和特征提取技术的社交网络表情符号设计系统框架。通过案例实践,得出的结论是基于面部特征信息的表情符号设计系统可以大量的为不同的用户设计个性化的表情符号,软件工具的成像可以使大量的个性化设计变为现实。基于此,智能图像设计软件具有很大的发展空间和应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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