摘要
回顾了人脸机器识别的发展现状 ,阐述了 3D人脸识别面临的挑战 ;讨论了基于 3D人脸通用模型的解决方案 ,并且介绍了人脸模型的建模方法和人脸通用模型 .将 3D人脸识别问题分为人脸重建、头部跟踪、人脸识别和表情合成四类 。
This paper reviews the history of face machine recognition and analysis the challenge of 3D face recognition. It presents the solution of 3D general face model, introduces the face modeling methods. 3D model based face recognition involves four major fields: face reconstruction, head tracking, face recognition and expression synthesis. This paper provides a survey of methods and measures of realization, analysis and compares the difference among the methods.
出处
《小型微型计算机系统》
CSCD
北大核心
2004年第5期886-890,共5页
Journal of Chinese Computer Systems
基金
国家自然科学基金 ( 60 175 0 2 4)资助
教育部"符号计算与知识工程"重点实验室资助
关键词
人脸重构
动态头部跟踪
三维人脸识别
表情分析合成
face reconstruction
dynamic head tracking
3D face recognition
expression analysis and synthesis
