Image stitching using simplified SIFT

This paper used the improved simplified SIFT feature to image stitching. In order to enhance the robustness, the gradient direction histogram was smoothed using Gaussian filter. The matching method was also improved to eliminate the error matching and many-to-one match. When computing transformation...

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Bibliographic Details
Published in2010 International Conference on Information and Automation pp. 1134 - 1137
Main Authors Zhu, Qidan, Li, Ke
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Automation
Educational institutions
Fading
Filters
Histograms
Image matching
Image Stitching
Improved Matching Algorithm
Noise robustness
RANSAC
Simplified SIFT Feature
Smoothing methods
Splicing
Virtual reality
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ISBN1424457017
9781424457014
DOI10.1109/ICINFA.2010.5512313

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Summary:This paper used the improved simplified SIFT feature to image stitching. In order to enhance the robustness, the gradient direction histogram was smoothed using Gaussian filter. The matching method was also improved to eliminate the error matching and many-to-one match. When computing transformation matrix, we used RANSAC algorithm to improve computational accuracy. Finally, two pictures were integrated by the method of fading out. The experimental results show that this method greatly improved the efficiency of splicing.
ISBN:1424457017
9781424457014
DOI:10.1109/ICINFA.2010.5512313