摘要
文中综述了真实感3D人脸表情合成技术的研究进展.根据所采用的技术,将人脸表情合成方法划分为混合样本人脸表情合成、直接表情迁移、基于sketch的人脸表情合成与编辑、基于机器学习的真实感人脸表情合成、高分辨率人脸表情和细节的提取与合成5类,介绍了各类方法的研究现状,并比较了它们的优缺点.最后进行了总结,并对人脸表情合成技术未来的研究方向予以展望.
This paper presents a comprehensive survey on the recent development of realistic 3D facial expression synthesis. Based on the key techniques adopted, we classify facial expression synthesis methods into five categories： shape interpolation facial expression synthesis, direct expression transfer, sketch-based facial expression synthesis and editing, machine learning based realistic facial expression synthesis, the extraction and synthesis of high resolution facial expression and details. We first give the research status of each category, and then address the strength and weakness. Conclusions and future trends for facial expression synthesis are also presented.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2014年第2期167-178,共12页
Journal of Computer-Aided Design & Computer Graphics
基金
国家"八六三"高技术研究发展计划(2012AA011503)
国家自然科学基金(国际合作)项目(61111130209)
国家自然科学基金(60933007
61272298
61202279
61202197)
浙江省自然科学基金(Z1110154)
关键词
表情合成
表情编辑
混合样本
表情迁移
人脸细节
expression synthesis
expression editing
shape interpolation
expression transfer
facial detail
