DocumentCode :
3341485
Title :
A new affine transformation parameters estimation method
Author :
Kai He ; Zhongwen Yuan ; Congchong Mu
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
Volume :
1
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
28
Lastpage :
32
Abstract :
The precise estimation of affine transformation parameters is most significant in image matching. Since the traditional parameters estimation method based on solving over determined equation is sensitive to mismatch points, high precision of matching is required. In view of this situation, the nonlinear affine transformation parameters estimation method is studied in this paper, the relevant mathematical model is established, and the fast iterative formulas are deduced. Besides that, by combining the parameter estimation method with traditional SIFT feature extraction algorithm, a new image registration algorithm is proposed. The simulation results show that this estimation algorithm is robust to mismatch points, the estimated parameters are more accurate than traditional method, and the time consuming is also decreased. With the improved method, precise registration for actual aviation images are realized, therefore this method is precise and suitable in practical engineering.
Keywords :
affine transforms; feature extraction; image matching; image registration; iterative methods; parameter estimation; SIFT feature extraction algorithm; actual aviation image registration algorithm; equation solving; image matching precision; iterative formula; mathematical model; nonlinear affine transformation parameter estimation method; Accuracy; Equations; Feature extraction; Image registration; Mathematical model; PSNR; Parameter estimation; Nonlinear parameter estimation; SIFT algorithm; affine parameter estimation; image registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022035
Filename :
6022035
Link To Document :
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