基于仿射变换的快速全局运动估计算法

王思珺; 赵建; 韩希珍

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基于仿射变换的快速全局运动估计算法

成像技术与图像处理 | 更新时间：2020-08-12

- 基于仿射变换的快速全局运动估计算法
- Fast Global Motion Estimation Algorithm Based on Affine Transformation
- 液晶与显示 2012年27卷第2期页码：263-266
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院研究生院北京,100049
- 作者简介：
- 基金信息：
  
  吉林省科技厅重点项目(No.20100310)()
- DOI：
  中图分类号： TP391
- 收稿日期：2011-05-20，
  
  修回日期：2011-06-15，
  
  网络出版日期：2012-04-15，
  
  纸质出版日期：2012-04-15
- 稿件说明：
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王思珺, 赵建, 韩希珍. 基于仿射变换的快速全局运动估计算法[J]. 液晶与显示, 2012,(2): 263-266

WANG Si-jun, ZHAO Jian, HAN Xi-zhen. Fast Global Motion Estimation Algorithm Based on Affine Transformation[J]. , 2012,(2): 263-266
王思珺, 赵建, 韩希珍. 基于仿射变换的快速全局运动估计算法[J]. 液晶与显示, 2012,(2): 263-266 DOI：

WANG Si-jun, ZHAO Jian, HAN Xi-zhen. Fast Global Motion Estimation Algorithm Based on Affine Transformation[J]. , 2012,(2): 263-266 DOI：

摘要

全局运动估计是计算机视觉、视频处理等领域广泛采用的手段之一。为了降低全局运动估计计算复杂度

提出一种基于像素梯度的全局运动估计方法。就运动模型而言

采用了复杂性与准确性较好均衡的六参数仿射模型。为了提高计算速度

采用了两层金字塔进行多分辨率计算

而且在每层迭代计算中都抽取梯度较大的特征点进行计算

同时结合了高斯-牛顿优化计算方法。实验验证了提出的全局运动估计算法的计算效率和精度。

Abstract

Global Motion Estimation is an important tool widely used in computer vision

video processing

and other fields. To reduce the computational complexity of global motion estimation

a global motion estimation method based on the pixel gradient strategy was proposed. With regard to global motion models

six-parameter affine model is adopted because of its reasonable tradeoff between complexity and accuracy. In order to accelerate the algorithm

two-level pyramid is utilized in the calculation. It uses those gradient bigger pixels in the calculation of every pyramid level

and combines Gauss-Newton algorithm. The extensive experiments show that the proposed method is efficient and robust in terms of both computational complexity and accuracy.

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references

Mahmoud H, Bayoumi M. An efficient low-bit rate adaptive mesh-based motion compensation technique // Proc. 2nd Int. Workshop on Digital and Computational Video. Tampa, Florida, USA:IEEE Computer Society, 2001:164-172.[2] Yosi K, Amir A. Fast gradient methods based on global motion estimation for video compression [J]. IEEE Trans. Circuit Syst. Video Technol., 2003, 13(4):300-309.[3] Dufaux F, Konrad J. Efficient, robust, and fast global motion estimation for video coding [J]. IEEE Transactions on Image Processing, 2000, 9(3):497-501.[4] 俞天力,章毓晋.基于全局运动信息的视频检索技术 [J]. 电子学报, 2001,29(12A):1794-1798.[5] Rath G B, Makur A. Iterative least squares and compression based estimations for a four-parameter linear global motion model and global motion compensation [J]. IEEE Transactions on Circuits and Systems for Video Techno-logy, 1999, 9(7):1075-1099.[6] Bin Qi, Ghazal M, Amer A. Robust global motion estimation oriented to video object segmentation [J]. IEEE Transactions on Image Processing, 2008,17(6):958-967.[7] Keller Y, Averbuch A. Fast gradient methods based on global motion estimation for video compression [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2003, 13(4):300-309.[8] Wang D, Wang L. Fast and robust algorithm for global motion estimation // Proc SPIE Conf on Visual Communications and Image Processing(VCIP), San Jose, CA, USA:SPIE 1997,3024:1144-1151.[9] Li H, Liu G, Li Y, et al. A robust, efficient, and fast global motion estimation method from MPEG compressed video // IEEE Proc. PCM2002, LNCS 2532, Taiwan:SPIE, 2002: 151-158.[10] Moscheni F, Dufaux F, Kunt M. A new two-stage global/local motion estimation based on a background/foreground segmentation //IEEE Proc. ICASSP95, Detroit, MI:IEEE,1995:2261-2264.[11] Sorwar G, Murshed M, Dooley L. Fast global motion estimation using iterative least-square estimation technique // IEEE Proc. ICICSPCM 2003, Singapore, IEEE, 2003:282-286.[12] 贺玉文,赵黎,钟玉琢,等.快速鲁棒的全局运动估计算法 [J]. 软件学报, 2001,12(8):1220-1228.[13] Press W H, Flannery B P, Teukolsky S A, et al. Numerical recipes in C: The Art of Scientific Computing [M]. Cambridge: Cambridge University Press, 2003: 32-102.

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