DocumentCode :
2517106
Title :
A Fast Automatic and Robust Image Registration Algorithm
Author :
Zhang, Qi ; Zhang, Zhijiang ; Zeng, Dan
Author_Institution :
Key Lab. of Specialty Fiber Opt. & Opt. Access Networks, Shanghai Univ., Shanghai, China
fYear :
2011
fDate :
4-5 Nov. 2011
Firstpage :
307
Lastpage :
310
Abstract :
In this paper, a fast automatic and robust image registration algorithm is presented. First, we use the Fourier transform to calculate the relative position between the input images and sort the unordered image sequence. For two images with overlap region, we detect the feature points in the part of the region in one of the image with the robust method of SIFT. According to the coordinates of the feature points and the position relationship of two images, we can compute the space of the feature points in another image and detect the feature points in this region. Then, we use the geometric relation to reduce some mismatch points with structurally similar and achieve the robust image registration. We demonstrate illustrative results obtained by comparing and contrasting our output with other methods. This method can detect the effective feature points quickly for reducing the detection range of the feature points without human intervention and reduce the running time greatly in ensuring the feature points matching accuracy.
Keywords :
Fourier transforms; geometry; image registration; image sequences; Fourier transform; SIFT; feature points; geometric relation; robust image registration algorithm; unordered image sequence; Fast Fourier transforms; Feature extraction; Green products; Image registration; Robustness; Fourier transform; feature point; image registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality and Visualization (ICVRV), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-2156-4
Type :
conf
DOI :
10.1109/ICVRV.2011.53
Filename :
6092736
Link To Document :
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