DocumentCode
2473242
Title
A Hierarchical Algorithm for Fast Projective Flow Estimation
Author
Lo, Herman ; Mann, Steve
Author_Institution
Dept. of Mech. & Ind. Eng., Toronto Univ.
fYear
0
fDate
0-0 0
Firstpage
26
Lastpage
30
Abstract
This paper proposes a two-stage featureless hierarchical algorithm to alleviate the problems encountered in the VideoOrbits (and other related) algorithms for estimation of the projective coordinate transformation between images. Translation, rotation and zoom parameters are estimated by phase correlation methods in the first stage, which are used as initial estimates of Orbits in the second stage. In particular, a hybrid algorithm devised to use the first stage only when the projective motion is large demonstrates the most significant improvements in efficiency and accuracy over using Orbits alone on a motion sequence with large interframe movements
Keywords
correlation theory; image registration; image sequences; motion estimation; video signal processing; VideoOrbits; fast projective flow estimation; hierarchical algorithm; image registration; motion sequence; phase correlation method; projective coordinate transformation; Computer vision; Correlation; Image recognition; Image registration; Iterative algorithms; Layout; Orbits; Parameter estimation; Phase estimation; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 2005 Fifth International Conference on
Conference_Location
Bangkok
Print_ISBN
0-7803-9283-3
Type
conf
DOI
10.1109/ICICS.2005.1688997
Filename
1688997
Link To Document