30 October 2009 Simulation estimation of 5-parameter global motion with Fourier transform
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74983Q (2009); doi: 10.1117/12.830187
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Global motion estimation (GME) has attracted great attentions because of its broad applications in video coding, image stabilization, object segmentation and detection. In this paper, Fourier transform formula of the image after global motion with a 6-parameter affine model is deduced, and its special cases for the 4-parameter and 5-parameter affine model are discussed. A method for the global motion estimation using the 5-parameter affine model is proposed based on the Fourier transform properties of the tow images before and after global motion. Simulation results show that the 5 affine parameters can be satisfactorily estimated.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhengbing Zhang, Wei Zhang, "Simulation estimation of 5-parameter global motion with Fourier transform", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983Q (30 October 2009); doi: 10.1117/12.830187; https://doi.org/10.1117/12.830187
PROCEEDINGS
5 PAGES


SHARE
KEYWORDS
Affine motion model

Fourier transforms

Motion estimation

Motion models

Image segmentation

Error analysis

Video

Back to Top