DocumentCode :
557646
Title :
A new point correspondence algorithm for image stabilization based on lattice matching
Author :
Xi, Kaiyu ; Zhang, Hong ; Li, Lu ; Jia, Ruiming ; Ge, Qi
Author_Institution :
Image Process. Centre, Beihang Univ., Beijing, China
Volume :
1
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
386
Lastpage :
389
Abstract :
This paper presents a new digital image stabilization framework using an improved point matching algorithm. The point in the image is chosen using a lattice pattern, because the lattice can simulate the different transform model. And the motion is estimated by matching the lattice. This algorithm is compatible with different motion models according to the real experimental results. In the situation of translation and rotation, the coordinates of the transform can be calculated and stored in advance to reduce the amount of computation.
Keywords :
image matching; motion estimation; digital image stabilization framework; improved point matching algorithm; lattice matching; lattice pattern; motion estimation; motion model; point correspondence algorithm; transform model; Computational modeling; Digital images; Lattices; Motion estimation; Pattern matching; Signal processing algorithms; Transforms; blockmatching; full-search frame matching; image stabilization; lattice; motion estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100018
Filename :
6100018
Link To Document :
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