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 :
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