摘要
针对动态变化背景下的人脸视频编解码问题,该文提出了一种2D-3D混合编解码系统;具体包括:(1)基于多种观测信息,在线外观模型和粒子滤波的人脸三维运动跟踪;(2)结合参数模型与肌肉模型的3D人脸动画合成;(3)基于头发检测和3D头发模型的头发合成;(4)无缝地拼接前景的三维编解码结果和背景的二维编解码结果.在极低码率下,客观实验表明,该系统在编码效率和解码质量上有较好的综合优势.主观实验表明,该系统的解码结果在脸部具有较高的辨识度.
For facial video coding/decoding with dynamic background,a 2D/3D mixed system was proposed,it includes:(1)multi-measurements and online appearance models were applied to track 3D facial motion from video in framework of particle filter;(2)3D facial animation was produced combining parameterized model and muscular model;(3)3D hair was synthesized based on hair detection and 3D hair model;(4)3D coding/decoding result of foreground and 2D coding/decoding result of background were stitched seamlessly.At ultra-low bit-rate,the object experiment confirmed the comprehensive advantage between coding efficiency and decoding quality of this system,the between subjects experiment indicated the suitability of subjective face identification by it.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2013年第1期185-192,共8页
Acta Electronica Sinica
基金
国家自然科学基金(No.60875026
No.60805019)
安徽省科技攻关计划语音专项(No.11010202192)
中国博士后科学基金(No.2012M521248)
关键词
视频编解码
人脸运动跟踪
人脸动画
头发分析与建模
video coding/decoding
facial motion tracking
facial animation
hair analysis and modeling