期刊文献+

基于粒子滤波的人脸图像超分辨率重建方法 预览 被引量:3

Super-Resolution Reconstruction for Face Images Based on Particle Filters Method
在线阅读 下载PDF
分享 导出
摘要 将人脸图像超分辨率重建描述为人脸混合模型的纹理和位置参数的贝叶斯概率估计问题,将超分辨率重建的图像配准和像素融合这两个过程置于统一的概率估计框架下,并利用基于粒子滤波的参数估计算法,同时估计纹理和位置参数,从而实现人脸图像的超分辨率重建.包含灰度和位置两种先验信息的人脸混合模型,同时用于超分辨率重建的两个过程中,提高了图像配准精度和重建算法的性能,避免了通常方法在获得准确鲁棒的运动场估计时需要清晰的高分辨图像,而获得清晰的高分辨图像时又需要准确鲁棒运动场估计的困境.正面人脸合成序列图像实验结果表明,谈方法获得的重建结果较为理想. Super-Resolution (SR) reconstruction is posed as a Bayesian estimation of the location and appearance parameters of a face model. Image registration and image fusion, the two steps for SR reconstruction, are combined into one unified probabilistic framework, in which the prior information about facial appearance and gray from the face model is incorporated into both of the steps. In addition, a particle filter based algorithm is proposed to achieve the estimation, i.e. SR reconstruction. The proposed approach avoids the inherent dilemma of the most traditional methods, in which it demands a high-resolution image to get an accurate and robust estimation of the motion field, while reconstructing a high-resolution image requires the accurate and robust estimation of motion field. Experiments performed on synthesized frontal face sequences show that the proposed approach gains superior performance both in registration and reconstruction.
作者 黄华 樊鑫 齐春 朱世华 HUANG Hua, FAN Xin, QI Chun, ZHU Shi-Hua(1.School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China;2.School of Information Engineering, Delian Maritime University, Delian 116026, China)
出处 《软件学报》 EI 北大核心 2006年第12期 2529-2536,共8页 Journal of Software
基金 Supported by the National High-Tech Research and Development Plan of China under Grant No.2004AA1Z2312 (国家高技术研究发展计划(863))
关键词 超分辨率重建 人脸图像重建 粒子滤波 super-resolution reconstruction face image particle filter
作者简介 黄华(1975-),男,湖北当阳人,博士。讲师,主要研究领域为图像处理. 樊鑫(1977-),男,博士,讲师,主要研究领域为人脸图像处理与识别. 齐春(1955-),男,博士,教授,主要研究领域为图像处理,模式识别,信号处理. 朱世华(1950-),男,博士,教授,主要研究领域为移动通信.
  • 相关文献

参考文献14

  • 1Baker S,Kanade T.Limits on super-resolution and how to break them.IEEE Trans.on Pattern Analysis and Machine Intelligence,2002,29(9):1167-1183. 被引量:1
  • 2Sung CP,Min KP,Moon GK.Super-Resolution:A technical overview.IEEE Signal Processing Magazine,2003,20(5):21-36. 被引量:1
  • 3Capel D,Zisserman A.Super-Resolution from multiple views using learnt image models.In:Proc.of the IEEE Conf.Computer Vision and Pattern Recognition.Hawaii:IEEE CS Press,2001.627-634. 被引量:1
  • 4Liu C,Shum HY,Zhang C.A two-step approach to hallucinating faces:Global parametric model and local nonparametric model.In:Proc.of the IEEE Conf.on Computer Vision and Pattern Recognition.Hawaii:IEEE CS Press,2001.192-198. 被引量:1
  • 5Wang X,Tang X.Hallucinating face by eigentransformation.IEEE Trans.on Systems,Man and Cybernetics,Part C,2005,35(3):425-434. 被引量:1
  • 6Robinson D,Milanfar P.Fundamental performance limits in image registration.IEEE Trans.on Image Processing,2004,13(9):1185-1199. 被引量:1
  • 7Lucas BD,Kanade T.An iterative image registration technique with an application to stereo vision.In:Proc.of the Imaging Understanding Workshop.San Francisco:Morgan Kaufmann Publishers,1981.121-130. 被引量:1
  • 8Moghaddam B,Pentland A.Probabilistic visual learning for object representation.IEEE Trans.on Pattern Analysis and Machine Intelligence,1997,19(7):696-710. 被引量:1
  • 9Bian ZQ,Zhang XG.Pattern Recognition.Beijing:Tsinghua University Press,2000 . 被引量:1
  • 10Chang C,Ansari R,Khokhar A.Cyclic articulated human motion tracking by sequential ancestral simulation.In:Proc.of the 2004IEEE Computer Society Conf.on Computer Vision and Pattern Recognition.Los Alamitos:IEEE CS Press,2004.45-52. 被引量:1

同被引文献22

引证文献3

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈