2D-3D Facial Video Coding/Decoding at Ultra-low Bit-rate

YU Jun; WANG Zeng-fu

doi:10.3969/j.issn.0372-2112.2013.01.032

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2D-3D Facial Video Coding/Decoding at Ultra-low Bit-rate

更新时间：2025-07-16

- 2D-3D Facial Video Coding/Decoding at Ultra-low Bit-rate
- Acta Electronica Sinica Vol. 41, Issue 1, Pages: 185-192(2013)
- 作者机构：
  
  中国科学技术大学自动化系,安徽,合肥,230027
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2013.01.032
  CLC： TB391.9
- Published：2013
- 稿件说明：
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YU Jun, WANG Zeng-fu. 2D-3D Facial Video Coding/Decoding at Ultra-low Bit-rate[J]. Acta Electronica Sinica, 2013, 41(1): 185-192.
DOI：

YU Jun, WANG Zeng-fu. 2D-3D Facial Video Coding/Decoding at Ultra-low Bit-rate[J]. Acta Electronica Sinica, 2013, 41(1): 185-192. DOI： 10.3969/j.issn.0372-2112.2013.01.032.

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.

Abstract

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.

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A Simultaneous Facial Motion Tracking and Expression Recognition Algorithm

Related Author

YU Jun

WANG Zeng-fu

LI Rui

Related Institution

National Laboratory of Speech and Language Information Processing, University of Science and Technology of China

Department of Automation, University of Science and Technology of China

Institute of Intelligent Machines, Chinese Academy of Sciences

National Laboratory of Speech and Language Information Processing University of Science and Technology of China Hefei Anhui China

Department of Automation University of Science and Technology of China Hefei Anhui China

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